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āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
4 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Risk Management, Data Analysis
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļąāļāļāļģāđāļāļāļāļ§āļēāļĄāļāđāļāđāļāļ·āđāļāļāļāļēāļāļāļļāļĢāļāļīāļ (Business Continuity Plan) āļāļĢāļāļāļāļĨāļļāļĄāļāļēāļĢāļĢāļ°āļāļļāđāļĨāļ°āļāļĢāļ°āđāļĄāļīāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļ āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļīāļāļāļĢāļĢāļĄāļŠāļģāļāļąāļāļāļĩāđāļāļ°āļāđāļāļāļāļāļāļāļđāđ āļāļēāļĢāļāļąāļāļāļģāļāļĨāļĒāļļāļāļāđāļāđāļēāļāļāļ§āļēāļĄāļāđāļāđāļāļ·āđāļāļāļāļēāļāļāļļāļĢāļāļīāļ āđāļĨāļ°āļāļģāđāļāļīāļāļāļēāļĢāļāļąāļāļāđāļāļĄāđāļāļāļāļ§āļēāļĄāļāđāļāđāļāļ·āđāļāļāļāļēāļāļāļļāļĢāļāļīāļ.
- āļāļąāļāļāļēāđāļāļāļāļ§āļēāļĄāļāđāļāđāļāļ·āđāļāļāļāļēāļāļāļļāļĢāļāļīāļ āđāļĨāļ°āļāļĢāļąāļāļāļĢāļļāļāđāļāļāļŠāļēāļĢāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļ Business Continuity Plan.
- āļāļąāļāļāļģāļāļēāļĢāļĢāļ°āļāļļāđāļĨāļ°āļāļĢāļ°āđāļĄāļīāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļ (Risk and Control Self-Assessment).
- āļāļģāđāļāļīāļāļāļēāļĢāļĢāđāļ§āļĄāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļāđāļēāļ āđ āđāļāļāļēāļĢ Improve āļāļēāļāļāđāļēāļāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļ.
- āđāļŦāđāļāļ§āļēāļĄāļĢāļđāđāļāļāđāļāļāļāļāđāļāļĢāđāļāđāļĢāļ·āđāļāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļ.
- āļĢāļēāļĒāļāļēāļāđāļĢāļ·āđāļāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļ.
- āļāļąāļāļāļģāļāđāļāļĄāļđāļĨāļŠāļģāļŦāļĢāļąāļāđāļāđāđāļāļāļēāļĢāļĢāļēāļĒāļāļēāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļ (Enterprise Risk Management).
- āļāļģāđāļāļīāļāļāļēāļāļāļ·āđāļ āđ āļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒāļāļēāļāļāļđāđāļāļąāļāļāļąāļāļāļąāļāļāļē.
- āļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļē āļĢāļ°āļāļąāļāļāļĢāļīāļāļāļēāļāļĢāļĩāļāļķāđāļāđāļ āļŠāļēāļāļēāļ§āļīāļāļēāļāļēāļĢāđāļāļīāļ,āļāļĢāļ°āļāļąāļāļ āļąāļĒ, āļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāļāđāļāđāļāļ·āđāļāļāļāļēāļāļāļļāļĢāļāļīāļ (Business Continuity Plan) āļāļĒāđāļēāļāļāđāļāļĒ 4 āļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļŦāļĨāļąāļāļāļēāļĢāđāļĨāļ°āđāļāļ§āļāļīāļāļāđāļēāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļ.
- āļŦāļēāļāļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāļēāļāļāļļāļĢāļāļīāļāļāļĢāļ°āļāļąāļāļāļĩāļ§āļīāļāļāļ°āļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāđāļāļāļēāļĢāđāļāđāđāļāļĢāļ·āđāļāļāļĄāļ·āļāđāļĨāļ°āļ§āļīāļāļĩāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļ.
- āļŠāļēāļĄāļēāļĢāļāļŠāļ·āđāļāļŠāļēāļĢāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Research, Compliance, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Research current regulation on Bank of Thailand, The Stock Exchange of Thailand and AMLO etc.
- Conduct risk assessments for clients regarding regulatory risks.
- Attend client meetings from time to time.
- Prepare and document related process flows and working papers in a timely manner.
- Monitor work progress and budget, and report to supervisors on a regular basis.
- Perform self-reviews and initiate improvements.
- Support the Manager/Senior Manager by conducting research and providing necessary information or updates about clients.
- Your role as a leader:At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Analysts, Senior Associates / Senior Consultants / Assistant Managers across our Firm are expected to:Actively seek out developmental opportunities for growth, act as strong brand ambassadors for the firm as well as share their knowledge and experience with others.
- Respect the needs of their colleagues and build up cooperative relationships.
- Understand the goals of our internal and external stakeholder to set personal priorities as well as align their teams work to achieve the objectives.
- Constantly challenge themselves, collaborate with others to deliver on tasks and take accountability for the results.
- Build productive relationships and communicate effectively in order to positively influence teams and other stakeholders.
- Offer insights based on a solid understanding of what makes Deloitte successful.
- Project integrity and confidence while motivating others through team collaboration as well as recognising individual strengths, differences, and contributions.
- Understand disruptive trends and promote potential opportunities for improvement.
- You are someone with:Bachelor s degree in law, Accounting, Business, or Economics.
- 0-3 years of working experience in regulatory and compliance advisory, internal audit & control, financial audit, or QAR in financial firms or a multinational environment (preferred).
- Knowledge of regulatory risk, compliance, and audit is an advantage.
- Proactive, able to work independently with minimal supervision, and highly committed.
- Strong communication and presentation skills.
- Proficient in both written and spoken English.
- Willing to work in upcountry areas and travel occasionally.
- Due to volume of applications, we regret only shortlisted candidates will be notified.
- Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.Requisition ID: 107623In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- About Us TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
- Why Join Us.
- Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
- Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
- To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team.
- Status quo? Never. Courage? Always.
- At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
- Join us.
- Ecommerce's Governance and Experience is a global team responsible for ensuring our marketplace is safe and trustworthy for not only our users but also sellers and creators. We value user satisfaction and work on policies, rules, and systems to ensure quality. Our mission is to provide world-class service and experience for customers, sellers and creators. We are looking for a SEA Governance Operational Risk Analyst role to support root cause analysis and problem resolution management for SEA region.
- Oversight of product & content policy enforcement process as well as moderation checkpoint reviews; evaluating existing platform product, short-video, live-streaming policy enforcement performance, and identifying gaps and improvement plan.
- Responsible for product & content policy enforcement business implementation, interaction, differentiation of moderation human and automation strategy.
- Drive collaboration with cross-function and each South-east market country team to drive the direction and focus of policy enforcement optimisation.
- Responsible for the operation of moderation algorithms, models, tools, and other automated products; familiar with the building and training of listing moderation models and tools for Global E-Commerce platforms; capable of continuously optimizing and iterating relevant products through product operation means.
- Establish mechanisms for iterative optimization of enforcement rules, project interaction and collaboration, emergency analysis and evaluation, etc.
- Minumum Qualifications.
- Bachelor's degree or above.
- Minimum 2+ years work experience in Global E-Commerce governance operations, policy operations or moderation operations.
- Familiar with SEA E-commerce compliance requirements and internet governance management, with a certain level of business sensitivity and risk awareness.
- Proficiency with implementing processes to comply with regulatory requirements.
- Excellent English written and oral communication skills.
- Preferred Qualifications.
- Experience in project/program management and working with cross-functional teams.
- At least a Green belt in Lean Six Sigma will be a plus.
- Ability to monitor and measure results with analytical thinking and program management mindset.
- Ability to demonstrate sound judgment in ambiguous situations.
- Curiosity to develop knowledge of additional product categories as needed.
- TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
āļāļąāļāļĐāļ°:
Risk Management, Internal Audit, Accounting, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Support team head on developing Risk Management Process including tools and templates across ThaiBev Group.
- Facilitate risk Identification assessment and reporting of risks across ThaiBev Group with PG/BU Risk coordinators.
- Consolidate and Monitor risk and reporting structures including reporting dashboards, risk registers, templates and supporting documentation.
- Produce risk reports working with key contributors and support the analysis of significant risks and the appropriate mitigation measures.
- Conduct risk management awareness and capabilities across ThaiBev Group.
- Work closely with Internal Audit, Sustainability Development working Team and other Committee to ensure an enterprise risk management approach.
- Identify and analyze sector trends to continuously improve risk management approach, including the identification of gaps in processes and capabilities.
- Deliver the risk management knowledge and subject matter expertise and support to Executives and in the field to execute their risk management responsibilities.
- Degree in Accounting, International Development, Business Management or related filed.
- Experience in risk management / Risk management consulting.
- Experience in overseeing, supporting and/or establishing an ongoing risk management process.
- Good communication and presentation skills in English and Thai.
- Office of Human Capital.
- THAI BEVERAGE PUBLIC COMPANY LIMITED.
- ThaiBev Quarter 62 Ratchadaphisek Rd., Klongtoey, Bangkok 10110, THAILAND.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
Job Description We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.
āļāļąāļāļĐāļ°:
Risk Management, Financial Modeling, Teamwork, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļąāļāļāļēāđāļāļāļāļģāļĨāļāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļāļāđāļēāļāđ āļāļąāđāļ Retail Credit & Non Retail Credit Model āđāļāļ·āđāļāđāļāđāđāļāđāļāđāļāļĢāļ·āđāļāļāļĄāļ·āļāđāļāļāļēāļĢāļāļ§āļāļāļļāļĄāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāđāļŦāđāļāļĒāļđāđāđāļāļĢāļ°āļāļąāļ āļāļĩāđāļāļāļēāļāļēāļĢāļāļģāļŦāļāļ āđāļĨāļ°āļĨāļāļāļ§āļēāļĄāļŠāļđāļāđāļŠāļĩāļĒāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļŠāļīāļāđāļāļ·āđāļ.
- āļāļĢāļ°āđāļĄāļīāļāļāđāļēāļāļ§āļēāļĄāļŠāļđāļāđāļŠāļĩāļĒāļāļĩāđāđāļāļīāļāļāļēāļāļāļēāļĢāđāļŦāđāļŠāļīāļāđāļāļ·āđāļ (Credit Loss Model) āļĢāļ§āļĄāļāļąāđāļ āļĻāļķāļāļĐāļēāļāļąāļāļŦāļē āđāļĨāļ°āļāļąāļāļāļąāļĒāļāđāļēāļ āđ āļāļĩāđāļāđāļāđāļŦāđāđāļāļīāļāļāļ§āļēāļĄāļŠāļđāļāđāļŠāļĩāļĒāļāļēāļāļāļēāļĢāđāļŦāđāļŠāļīāļāđāļāļ·āđāļ.
- āļāļīāļāļāļēāļĄāđāļĨāļ°āļāļāļŠāļāļāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāļāļąāļāļāļąāļĒ āļāđāļēāļāđ āđāļĨāļ°āđāļāļāļāļģāļĨāļāļ āđāļāļ·āđāļāļāļĢāļąāļāđāļāļāļāļģāļĨāļāļ/āđāļāļĢāļ·āđāļāļāļĄāļ·āļāļāļĩāđāđāļāđāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļŠāļīāļāđāļāļ·āđāļāđāļŦāđāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāļāļĒāđāļēāļāļāđāļāđāļāļ·āđāļāļ.
- āļĻāļķāļāļĐāļēāļāļąāļāļāļģ āđāļĨāļ°āđāļŦāđāļāļēāļĢāļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļąāļāļāļēāļĢāļ°āļāļāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļāļāđāļēāļāđ.
- āļĻāļķāļāļĐāļē Risk & Return āđāļāļĄāļīāļāļīāļāđāļēāļāđ āđāļāļ·āđāļāđāļāđāļāļĢāļ°āļāļāļāļāļēāļĢāđāļŦāđāļāļ§āļēāļĄāđāļŦāđāļāđāļāļāļēāļĢāļāļāļāļāļĨāļīāļāļ āļąāļāļāđāļŠāļīāļāđāļāļ·āđāļ āļĢāļ§āļĄāļāļķāļāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļĢāļāļģāļĢāļ°āļāļāļāļāļāđāļāđ āđāļĨāļ°āļāļīāļāļāļēāļĄāļāļēāļĢāđāļāđ.
- āļĢāđāļ§āļĄāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļ IT āļāļāļāļāļāļēāļāļēāļĢāļāļąāļāļŠāļĢāļĢ āđāļĨāļ°āļāļĢāļīāļŦāļēāļĢāļāđāļāļĄāļđāļĨāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļāđāļŦāđāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāđāļāļ·āđāļāđāļāđāđāļāđāļāđāļāļ§āļāļēāļāļāļēāļĢāļāļąāļāļāļēāđāļāļĢāļ·āđāļāļāļĄāļ·āļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļŠāļīāļāđāļāļ·āđāļ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāļ·āđāļāļ§āļēāļāļāļĨāļĒāļļāļāļāđāđāļāļāļēāļĢāļāļąāļāļāļģ āđāļĨāļ°āļāļēāļĢāļāļģ Credit Model āđāļāđāļāđāļāļēāļāđāļŦāđāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāļŠāļđāļāļŠāļļāļ.
- āļāļēāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļąāļāļāļēāđāļĨāļ°āļāļīāļāļāļēāļĄāļĢāļ°āļāļāļāļēāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļĪāļāļīāļāļĢāļĢāļĄāļĨāļđāļāļāđāļēāđāļĨāļ°āļāļĢāļ°āđāļĄāļīāļāļāļ§āļēāļĄāļāđāļēāļāļ°āđāļāđāļāļāļĩāđāļĨāļđāļāļŦāļāļĩāđāļāļ°āļāļīāļāļāļąāļāļāļģāļĢāļ°āļŦāļāļĩāđ.
- āļāļąāļāļāļēāđāļāļĢāļ·āđāļāļāļĄāļ·āļ āļŦāļĢāļ·āļāļĢāļ°āļāļāđāļāļ·āļāļāļ āļąāļĒ (Early Warning System).
- āļāļīāļāļāļēāļĄ Credit Exposure āđāļāļĄāļļāļĄāļāļēāļĢāļāļ§āļāļāļļāļĄāļāđāļēāļāđ āđāļāđāļ āļāļēāļĢāļāļģāļāļąāļāļĨāļđāļāļŦāļāļĩāđāļĢāļēāļĒāđāļŦāļāđāļāļāļāļāļāļēāļāļēāļĢ (Single LendingLimit) āđāļāđāļāļāđāļ.
- āđāļāđāļāļĻāļđāļāļĒāđāļāļĨāļēāļāļāļąāļāļāļēāđāļĨāļ°āļāļīāļāļāļēāļĄāļāļēāļĢāđāļāđāļāļēāļāļĢāļ°āļāļāđāļāļāļāļģāļĨāļāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļ āļĢāļ§āļĄāļāļąāđāļāļāļģāļŦāļāļāļŠāļīāļāļāļīāđāđāļĨāļ°āļĢāļ°āļāļąāļāļāļēāļĢāđāļāđāļēāđāļāđāļāļēāļāļĢāļ°āļāļāļŊ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļĢāļ°āļŦāļ§āđāļēāļāļāļđāđāđāļāđ āđāļĨāļ°āļŦāļāđāļ§āļĒāļāļēāļ IT āđāļāļ·āđāļāđāļŦāđāļāļēāļĢāļŠāļāļąāļāļŠāļāļļāļāļāļļāļāļāđāļēāļāđāļāļĩāđāļĒāļ§āļāļąāļāļāļēāļĢāđāļāđāļāļēāļāļĢāļ°āļāļāļŊ āļāļĨāļāļāļāļāļāļēāļĢāļāļĢāļąāļāļāļĢāļļāļāđāļāđāđāļāļĢāļ°āļāļāļāļēāļāļŊ.
- āļāļģāļŦāļāļ āđāļĨāļ°āļĢāļ§āļāļĢāļ§āļĄāļĢāļ°āđāļāļĩāļĒāļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāđāļāļ·āđāļāļāđāļēāļāļāļīāļ āđāļĨāļ°āļāļĢāļąāļāļāļĢāļļāļāđāļāđāđāļāđāļŦāđāđāļāđāļāļāļąāļāļāļļāļāļąāļāļāļĒāļđāđāđāļŠāļĄāļ.
- āļāļ§āļāļāļļāļĄāļāļđāđāļĨāļāļđāđāđāļāđāļĢāļ°āļāļ āđāļĨāļ°āļāļģāļŦāļāļāļĄāļēāļāļĢāļāļēāļāļāļēāļĢāļāļąāļāļāļķāļāļāđāļāļĄāļđāļĨāđāļāļĢāļ°āļāļāļāļēāļāļŊ āđāļŦāđāļāļđāļāļāđāļāļ.
- āļāļĢāļīāļŦāļēāļĢāļāđāļāļĄāļđāļĨāļāļĩāđāļĄāļĩāļāļĒāļđāđāđāļāļĢāļ°āļāļāđāļāļ·āđāļāļāļģāļĄāļēāđāļāđāđāļāđāļāļīāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđ āđāļĨāļ° āļŠāļĢāļļāļāļāļĨāļāļēāļ/āļĢāļēāļĒāļāļēāļāļāđāļēāļ āđ āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāđāļŦāđāļāļąāļāļāļāļēāļāļēāļĢ.
- āļāļēāļāļĢāļ°āļāļāļāļĢāļīāļŦāļēāļĢāļŠāļīāļāđāļāļ·āđāļ (Loan Origination).
- āđāļāđāļāļĻāļđāļāļĒāđāļāļĨāļēāļāļāļąāļāļāļēāđāļĨāļ°āļāļīāļāļāļēāļĄāļāļēāļĢāđāļāđāļāļēāļāļĢāļ°āļāļāļāļĢāļīāļŦāļēāļĢāļŠāļīāļāđāļāļ·āđāļ āļĢāļ§āļĄāļāļąāđāļāļāļģāļŦāļāļāļŠāļīāļāļāļīāđāđāļĨāļ°āļĢāļ°āļāļąāļāļāļēāļĢāđāļāđāļēāđāļāđāļāļēāļāļĢāļ°āļāļ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļĢāļ°āļŦāļ§āđāļēāļāļāļđāđāđāļāđ āđāļĨāļ°āļŦāļāđāļ§āļĒāļāļēāļ IT āđāļāļ·āđāļāđāļŦāđāļāļēāļĢāļŠāļāļąāļāļŠāļāļļāļāļāļļāļāļāđāļēāļāđāļāļĩāđāļĒāļ§āļāļąāļāļāļēāļĢāđāļāđāļāļēāļāļĢāļ°āļāļ āļāļĨāļāļāļāļāļāļēāļĢāļāļĢāļąāļāļāļĢāļļāļāđāļāđāđāļāļĢāļ°āļāļāļāļēāļ.
- āļāļģāļŦāļāļ āđāļĨāļ°āļĢāļ§āļāļĢāļ§āļĄāļĢāļ°āđāļāļĩāļĒāļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāļ·āđāļāļāđāļēāļāļāļīāļ āđāļĨāļ°āļāļĢāļąāļāļāļĢāļļāļāđāļāđāđāļāđāļŦāđāđāļāđāļāļāļąāļāļāļļāļāļąāļāļāļĒāļđāđāđāļŠāļĄāļ.
- āļāļ§āļāļāļļāļĄāļāļđāđāļĨāļāļđāđāđāļāđāļĢāļ°āļāļ āđāļĨāļ°āļāļģāļŦāļāļāļĄāļēāļāļĢāļāļēāļāļāļēāļĢāļāļąāļāļāļķāļāļāđāļāļĄāļđāļĨāđāļāļĢāļ°āļāļāļāļēāļāđāļŦāđāļāļđāļāļāđāļāļ.
- āļāļĢāļīāļŦāļēāļĢāļāđāļāļĄāļđāļĨāļāļĩāđāļĄāļĩāļāļĒāļđāđāđāļāļĢāļ°āļāļāđāļāļ·āđāļāļāļģāļĄāļēāđāļāđāđāļāđāļāļīāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđ āđāļĨāļ°āļŠāļĢāļļāļāļāļĨāļāļēāļ/āļĢāļēāļĒāļāļēāļāļāđāļēāļ āđ āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāđāļŦāđāļāļąāļāļāļāļēāļāļēāļĢ.
- āļāļēāļāļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļāđāļāļĄāļđāļĨāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļ.
- āļŠāļĢāđāļēāļāđāļĨāļ°āļāļđāđāļĨāļāļąāļāļāļēāļĢ Data Pipeline Architecture āđāļŦāđāđāļāļīāļāļāļĢāļ°āđāļĒāļāļāđāļŠāļđāļāļŠāļļāļ.
- āđāļŦāđ Requirement IT āļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļāļēāļāļĢāļ°āļāļāļāļēāļāļāđāļāļĄāļđāļĨāļāļāļāļāļāļēāļāļēāļĢāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāđāļĨāļ°āļĢāļ°āļāļāļāļēāļāļāđāļēāļāđāđāļāļ·āđāļāļāļąāļāļāļģ āđāļĨāļ°āļāļđāđāļĨ Datamart āđāļŦāđāļĄāļĩāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāđāļāļāļąāļāļāļļāļāļąāļ āđāļĨāļ°āļŠāļĄāļāļđāļĢāļāđāļāļĢāđāļāļĄāđāļāđāļāļēāļ āđāļāđāļ āđāļāđāđāļāļāļēāļĢāļāļąāļāļāļē āļāļāļŠāļāļāđāļĨāļ°āļāļīāļāļāļēāļĄāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāđāļāļāļāļģāļĨāļāļ āđāļĨāļ°āđāļāđāđāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļŠāļīāļāđāļāļ·āđāļāļāļļāļĢāļāļīāļ.
- āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨāđāļāļ·āđāļāđāļŦāđāļāđāļāļĄāļđāļĨāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāđāļāđāđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļāđāļĨāļ°āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļ āļŠāđāļāļŦāļāđāļ§āļĒāļāļēāļāļāļ·āđāļ.
- āļāļīāļāļāļēāļĄāđāļĨāļ°āļāļĢāļ°āđāļĄāļīāļāļāļļāļāļ āļēāļāļāļāļāļāđāļāļĄāļđāļĨāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļ āļĢāļ§āļĄāļāļąāđāļāļāļĢāļąāļāļāļĢāļļāļāļāļļāļāļ āļēāļāļāļāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāđāļŦāđāļĄāļĩāļāļ§āļēāļĄāļāļđāļāļāđāļāļāļāđāļēāđāļāļ·āđāļāļāļ·āļ.
- āļāļ§āļāļāļļāļĄāļāļđāđāļĨāļāļēāļĢāđāļāđāļāđāļāļĄāļđāļĨ āđāļĨāļ°āļŠāļīāļāļāļīāđāļāļēāļĢāđāļāđāļēāļāļķāļāļāļēāļĢāđāļāđāļāđāļāļĄāļđāļĨ (āđāļāļāļēāļ°āļĢāļ°āļāļāļāļēāļāđāļĨāļ° Datamart āļāļĩāđāļāđāļēāļĒāļŊ āđāļāđāļ owner).
- āļāļąāļāļāļģāļāļđāđāļĄāļ·āļāļĄāļēāļāļĢāļāļēāļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļ (SOP) āđāļĨāļ°āļāļđāđāļĄāļ·āļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļ (User Manual) āļāļāļāļŦāļāđāļ§āļĒāļāļēāļ.
- āļāļāļīāļāļąāļāļīāļŦāļāđāļēāļāļĩāđāļāđāļēāļāļāļēāļĢāļāļāļąāļāļāļ āđāļĨāļ°āļāļķāļāļāļāļĢāļĄ āļāļāļāļĢāļ°āļĄāļēāļ āļāđāļēāđāļāđāļāđāļēāļĒ āļŠāļēāļĢāļāļĢāļĢāļ āđāļĨāļ°āļĢāļ§āļāļĢāļ§āļĄāđāļāļāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļāļāļāļāļŦāļāđāļ§āļĒāļāļēāļ.
- āļāļāļīāļāļąāļāļīāļŦāļāđāļēāļāļĩāđāļāļ·āđāļāđāļāļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļēāļĢāļāļąāļāļāļē credit risk models, risk pricing models āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨ āđāļĨāļ°āļāļēāļĢāđāļāļĩāļĒāļ computer programming.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāļĩāđāļāļģāđāļāđāļāļāđāļ model development āđāļĨāļ° maintenance āđāļāđāđāļāđ āļāļ§āļēāļĄāļĢāļđāđāđāļāļĩāđāļĒāļ§āļāļąāļāļāļēāļĢāļāļąāļāļāļēāđāļāļāļāļģāļĨāļāļāđāļĨāļ°āļŠāļāļīāļāļī (Modelling, Statistics) āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāļāļēāļāđāļŦāļāđ (Data Analytics, Big Data) āđāļĨāļ° computer programming (e.g. Data Science) āđāļĨāļ°āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāļĒāđāļēāļāļāđāļāļĒāļāļĒāđāļēāļāđāļāļāļĒāđāļēāļāļŦāļāļķāđāļ āļāđāļāđāļāļāļĩāđ āđāļāđāļ āđāļāļāļāļģāļĨāļāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļ (Credit Risk Modelling, IFRS9, Basel, Credit Rating, Credit Pricing Model) āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāđāļēāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļŠāļīāļāđāļāļ·āđāļ (Credit Risk Analysis)āļāļ§āļēāļĄāļĢāļđāđāļāļēāļāļāđāļēāļāđāļĻāļĢāļĐāļāļĻāļēāļŠāļāļĢāđāļāļēāļĢāđāļāļīāļāđāļĨāļ°āđāļĻāļĢāļĐāļāļāļīāļāļĄāļŦāļ āļēāļ āđāļĨāļ°āļāļēāļĢāļāļąāļāļāļēāļĢāļāđāļāļĄāļđāļĨ (MIS, Data Engineering).
- āļĄāļĩāļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļāļāļĢāļīāļāļāļēāđāļāļāļķāđāļāđāļ āļāđāļēāļ Statistics, Econometrics, Data Science, Data Analytics, Computer Science, Computer Engineering, Operational Research, Risk Analytics/Modelling, Mathematical Finance, Financial Engineering, Economics, MIS āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļāļąāļāļĐāļ°āļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāļāļīāđāļĻāļĐāļāļ·āđāļ āđ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļāļŠāļāļīāļāļī āļŠāļēāļĄāļēāļĢāļāļŠāļĢāđāļēāļāđāļāļāļāļģāļĨāļāļāđāļĨāļ°āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļāđāđāļāļ āļĄāļĩāļāļ§āļēāļĄāļāļīāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļŠāļĢāđāļēāļāļŠāļĢāļĢāđāļāļ·āđāļāļāļĢāļąāļāļāļĢāļļāļāļāļąāļāļāļēāđāļāļāļāļģāļĨāļāļāđāļŦāđāļāļĩāļāļķāđāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļ āļēāļĐāļēāļāļąāļāļāļĪāļĐāđāļāļĢāļ°āļāļąāļāļāļĩāļŦāļĢāļ·āļāļāļĩāļĄāļēāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļāļģāļāļēāļāđāļāđāļāļāļĩāļĄāđāļĨāļ°āļāļąāļāļĐāļ°āļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢ āļĢāļ§āļĄāļāļķāļāļāļēāļĢāļāļģāđāļŠāļāļāļāļĨāļāļēāļāļāļĩāđāļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāļĢāļ°āđāļāļĩāļĒāļāļĄāļēāļāļĢāļāļēāļāļāļēāļĢāļāļąāļāļāļģāđāļāļāļāļģāļĨāļāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļāđāļĨāļ°āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļāļĢāđāļāļŠāļīāļāđāļāļ·āđāļ.
- āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāđāļĢāļĩāļĒāļāļĢāļđāđāđāļāļāļāļīāļāđāļŦāļĄāđāđ āđāļāļāļēāļĢāļāļąāļāļāļēāđāļāļāļāļģāļĨāļāļāđāļĨāļ°āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļāļīāļāļŠāļāļīāļāļīāđāļāđāļāđāļ§āļĒāļāļāđāļāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļāļāļāļĄāļāļīāļ§āđāļāļāļĢāđ āļŠāļēāļĄāļēāļĢāļāđāļāđāļāļāļĄāļāļīāļ§āđāļāļāļĢāđāđāļāđāđāļāđāļāļāļĒāđāļēāļāļāļĩ āđāļāđāļ āđāļāļĢāđāļāļĢāļĄ SAS, SQL, Machine Learning, Deep Learning, MS āđāļāļīāļāļĨāļķāļ āđāļĨāļ° Python āđāļāđāļāļāđāļ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļŠāļĢāđāļēāļāđāļĨāļ°āļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļāļēāļāļāđāļāļĄāļđāļĨāđāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ..
- āļāđāļēāļāđāļāđāļāđāļēāļāđāļĨāļ°āļĻāļķāļāļĐāļēāļāđāļĒāļāļēāļĒāļāļ§āļēāļĄāđāļāđāļāļŠāđāļ§āļāļāļąāļ§āļāļāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāđāļāļĒ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ) āļāļĩāđ https://krungthai.com/th/content/privacy-policy āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāđāļĄāđāļĄāļĩāđāļāļāļāļēāļŦāļĢāļ·āļāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļāđ āļāļĩāđāļāļ°āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ āļĢāļ§āļĄāļāļķāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļĻāļēāļŠāļāļēāđāļĨāļ°/āļŦāļĢāļ·āļāļŦāļĄāļđāđāđāļĨāļŦāļīāļ āļāļķāđāļāļāļēāļāļāļĢāļēāļāļāļāļĒāļđāđāđāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļāļāļāļāļāđāļēāļāđāļāđāļāļĒāđāļēāļāđāļ āļāļąāļāļāļąāđāļ āļāļĢāļļāļāļēāļāļĒāđāļēāļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāđāļāđ āļĢāļ§āļĄāļāļķāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļ āļŦāļĢāļ·āļāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§āļŦāļĢāļ·āļāļāđāļāļĄāļđāļĨāļāļ·āđāļāđāļ āļāļķāđāļāđāļĄāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļŦāļĢāļ·āļāđāļĄāđāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļŠāļĄāļąāļāļĢāļāļēāļāđāļ§āđāļāļāđāļ§āđāļāđāļāļāđ āļāļāļāļāļēāļāļāļĩāđ āļāļĢāļļāļāļēāļāļģāđāļāļīāļāļāļēāļĢāđāļŦāđāđāļāđāđāļāļ§āđāļēāđāļāđāļāļģāđāļāļīāļāļāļēāļĢāļĨāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ (āļāđāļēāļĄāļĩ) āļāļāļāļāļēāļāđāļĢāļāļđāđāļĄāđāđāļĨāļ°āđāļāļāļŠāļēāļĢāļāļ·āđāļāđāļāļāđāļāļāļāļĩāđāļāļ°āļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāļāļąāļāļāļĨāđāļēāļ§āđāļ§āđāļāļāđāļ§āđāļāđāļāļāđāđāļĨāđāļ§āļāđāļ§āļĒ āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļāđāļāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāļāļļāļāļāļĨāđāļāđāļēāļāļģāļāļēāļ āļŦāļĢāļ·āļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļļāļāļŠāļĄāļāļąāļāļī āļĨāļąāļāļĐāļāļ°āļāđāļāļāļŦāđāļēāļĄ āļŦāļĢāļ·āļāļāļīāļāļēāļĢāļāļēāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāļāļļāļāļāļĨāļāļĩāđāļāļ°āđāļŦāđāļāļģāļĢāļāļāļģāđāļŦāļāđāļ āļāļķāđāļāļāļēāļĢāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ·āđāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāđāļāđāļēāļāļģāļŠāļąāļāļāļēāđāļĨāļ°āļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļāļēāļĄāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļ āđāļāļāļĢāļāļĩāļāļĩāđāļāđāļēāļāđāļĄāđāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļāļēāļĢāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄ āļŦāļĢāļ·āļāļĄāļĩāļāļēāļĢāļāļāļāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ āļēāļĒāļŦāļĨāļąāļ āļāļāļēāļāļēāļĢāļāļēāļāđāļĄāđāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāļāļēāļĢāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļāđāļāđ āđāļĨāļ°āļāļēāļ āļāļģāđāļŦāđāļāđāļēāļāļŠāļđāļāđāļŠāļĩāļĒāđāļāļāļēāļŠāđāļāļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāđāļāđāļēāļāļģāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢ.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
6 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Instrument, Excel, SAS, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Credit Risk Modelling - IFRS 9 model development, validation, Basel II/III solutions, including RWA optimisation, scorecard development, and PD/LGD/EAD model development.
- Market, Liquidity and Operational Risk - calculation of market, liquidity and operational risk capital under various regulations, assisting with implementation, and organisational review.
- Risk management advice: reviewing the current risk management framework, and designi ...
- Complex financial instrument valuation: assisting you in financial instrument valuation in order to evaluate its fair valuation in order to evaluate its fair value.
- Insurance modelling: developing and validating risk management models for insurers including liability.
- Conduct financial risk models design and development, model validation and testing, and other advanced data analytics on a wide range of client portfolios (financial and non-financial services).
- Develop and apply credit risk methodologies including IFRS 9 and Basel II /III PD/LGD/EAD models etc.
- Analyse and interpret quantitative results to understand business impact.
- H andle and manage work streams, build relationships and manage clients during the implementation of projects.
- Communicate confidently in a clear, concise and articulate manner - verbally and in written form.
- Seek opportunities to learn about other cultures and other parts of the business across the Network of PwC firms.
- Uphold the firm s code of ethics and business conduct.
- Preferred skills.
- Experience in current financial regular landscape will be an advantage (Basel II /III, IFRS 9 etc.).
- Proficient in Excel and/or other analytics platforms (e.g. SAS, SQL, R, Python, Excel VBA).
- Excellent English and Thai written and verbal communication skills.
- Demonstrate strong inter-personal skills and good communication skills, including the ability to document reports and conduct presentations for clients and key stakeholders.
- University degree in a quantitative discipline (e.g. Mathematical Science, Financial Engineering, Actuarial, Statistics etc.).
- Analytical and independent thinker with strong English and Thai written and verbal communication skills.
- Between 3 and 6 years of relevant experience.
- If you have any questions, please feel free to contact Prangnart, Human Resources Team, on [email protected].
- We thank all applicants. Please note that only short-listed candidates will be contacted for interviews.
- Education (if blank, degree and/or field of study not specified).
- Degrees/Field of Study required: Bachelor Degree Degrees/Field of Study preferred:Certifications (if blank, certifications not specified).
- Required Skills.
- Optional Skills.
- Desired Languages (If blank, desired languages not specified).
- Travel Requirements.
- Not Specified
- Available for Work Visa Sponsorship?.
- Yes
- Government Clearance Required?.
- No
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Risk Management, SAS, SQL, Data Analysis, Finance, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļģāļŦāļāļāļāļĢāļāļāđāļāļ§āļāļēāļāļāļēāļĢāļāļĢāļąāļāļāļĢāļļāļāđāļāļĢāļāļŠāļĢāđāļēāļāļŦāļāļĩāđāđāļĨāļ°āļāļģāđāļāļīāļāļāļāļĩāļāļēāļĄāļāđāļĒāļāļēāļĒāļāļāļāļāļāļēāļāļēāļĢāđāļŦāđāļāļāļĢāļ°āđāļāļĻāđāļāļĒ āđāļĨāļ° āļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāļāļģāļāļąāļāļāļđāđāļĨāđāļāļ·āđāļāđāļŠāļāļāļāļāļāļāļļāļĄāļąāļāļīāđāļāļĨāļĩāđāļĒāļāđāļāļĨāļāļāđāļāļāļāļ°āļāļĢāļĢāļĄāļāļēāļĢāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āļĢāļ§āļĄāļāļķāļāļāļ§āļāļāļļāļĄāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļāđāļŦāđāļĄāļĩāļāļ§āļēāļĄāļŠāļāļāļāļĨāđāļāļāļāļąāļ.
- āļāļąāļāļāļģāļāđāļāļĄāļđāļĨāđāļāļāļēāļĢāļāļ§āļāļāļļāļĄāđāļĨāļ°āļāļĢāļ§āļāļŠāļāļāļāļ§āļēāļĄāļāļđāļāļāđāļāļāđāļāđāļāļ·āđāļāļāļāđāļāļāļāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļāļļāļĄāļąāļāļīāļŠāļīāļāđāļāļ·āđāļ āđāļāļ·āđāļāļĨāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāđāļĨāļ°āļāļąāļāļĢāļēāļāļēāļĢāđāļāļīāļ NPLs.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļĢāļ°āđāļĄāļīāļāļāļĨāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļ āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļ(Credit Risk)āđāļāļĄāļīāļāļīāļāđāļēāļāđ āđāļāļ·āđāļāđāļāđāļāļĢāļ°āļāļāļāļāļēāļĢāļāļĢāļ°āđāļĄāļīāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāđāļāļāļēāļĢāļāļāļāļāļĨāļīāļāļ āļąāļāļāđāļŠāļīāļāđāļāļ·āđāļ āđāļĨāļ°āļāļĨāļīāļāļ āļąāļāļāđāļāļ·āđāļāđ ...
- āļāļēāļāļāļģāļāļēāļāļāļāļļāļĄāļąāļāļī (Delegation Authority).
- āļāļģāļŦāļāļāļāļģāļāļēāļāļāļāļļāļĄāļąāļāļīāļŠāļīāļāđāļāļ·āđāļāđāļĨāļ°āļāļĢāļąāļāļāļĢāļļāļāđāļāļĢāļāļŠāļĢāđāļēāļāļŦāļāļĩāđ āđāļĨāļ°āļāļāļāļ§āļāļāļģāļāļēāļāđāļāļāļēāļĢāļāļģāļāļļāļĢāļāļĢāļĢāļĄāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāļ·āđāļāđāļŦāđ āļŠāļāļāļāļĨāđāļāļāļāļąāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāđāļĨāļ°āļāļ§āļēāļĄāļāļĨāđāļāļāļāļąāļ§āđāļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļ.
- āļāļđāđāļĨāđāļĨāļ°āļāļ§āļāļāļļāļĄāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļāļāļēāļĄāļāļĢāļāļāļāļģāļāļēāļāļāļāļļāļĄāļąāļāļīāļŠāļīāļāđāļāļ·āđāļāđāļĨāļ°āļāļĢāļąāļāļāļĢāļļāļāđāļāļĢāļāļŠāļĢāđāļēāļāļŦāļāļĩāđ āđāļĨāļ°āļāļļāļĢāļāļĢāļĢāļĄāļŠāļīāļāđāļāļ·āđāļ āđāļāļ·āđāļāđāļŦāđ āļĢāļ°āļāļāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļģāļŦāļāļāđāļāđāļāļĒāđāļēāļāļāļđāļāļāđāļāļ.
- āļāļāļāļāđāļāļŦāļēāļĢāļ·āļāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļ āļēāļĒāđāļāđāļĨāļ°āļŦāļāđāļ§āļĒāļāļēāļāļ āļēāļĒāļāļāļāļāļāļēāļāļēāļĢ āđāļāļ·āđāļāđāļŦāđāļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļāļīāļāļąāļāļīāļāļēāļāđāļāđāļāļĒāđāļēāļāļāļđāļāļāđāļāļ.
- āļāļēāļ Retail Credit Risk Portfolio Management.
- āļāļģāļŦāļāļāļāļĨāļĒāļļāļāļāđāđāļāļāļēāļĢāļāļđāđāļĨāđāļĨāļ°āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļ Retail Credit Risk Portfolio Management āļāļĢāļāļāļāļĨāļļāļĄāļāļąāđāļāđāļāđāļāļēāļĢāļāļģāļŦāļāļāļāļąāļ§āļāļĩāđāļ§āļąāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāđ āļāļāļāđāļāđāļĨāļ°āļāļĨāļīāļāļ āļąāļāļāđ āđāļāļ·āđāļāļāļģāđāļŠāļāļāļāđāļāļāļāļ°āļāļĢāļĢāļĄāļāļēāļĢāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļāļģāļŦāļāļāļāļĨāļĒāļļāļāļāđāđāļĨāļ°āļāļąāļāļāļģ Strategic Planning āđāļāļ·āđāļāļāļąāļāļāļēāļĢāļāļđāđāļĨāļāļĨāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļāđāļāđāļĢāļ·āđāļāļ Credit Loss and Profitability āđāļŦāđāđāļāđāļāđāļāļāļēāļĄāđāļāļāļāļĩāđāļāļģāļŦāļāļ.
- āļāļĢāļ°āđāļĄāļīāļ Risk & Return āđāļāļĄāļīāļāļīāļāđāļēāļāđ āđāļāļ·āđāļāđāļāđāļāļĢāļ°āļāļāļāļāļēāļĢāđāļŦāđāļāļ§āļēāļĄāđāļŦāđāļāđāļāļāļēāļĢāļāļāļāļāļĨāļīāļāļ āļąāļāļāđāļŠāļīāļāđāļāļ·āđāļ.
- āļāļąāļāļāļģāļāđāļāļĄāļđāļĨāļāļēāļĄāļāļĩāđāļāļģāļŦāļāļāļāļēāļāļāļāļēāļāļēāļĢāđāļŦāđāļāļāļĢāļ°āđāļāļĻāđāļāļĒ āļŦāļāđāļ§āļĒāļāļēāļāļ āļēāļĒāļāļāļāđāļĨāļ°āļŦāļāđāļ§āļĒāļāļēāļāļ āļēāļĒāđāļāļāļāļēāļāļēāļĢ āđāļĨāļ° āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļāļāđāļāļĄāļđāļĨāļ āļēāļĒāđāļāļŠāļēāļĒāļāļēāļāđāļāļĩāļĒāļ§āļāļąāļ.
- āļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļāļāļĢāļīāļāļāļēāļāļĢāļĩāļāļķāđāļāđāļ āļāđāļēāļāļāļēāļĢāļāļąāļāļāļĩ āđāļĻāļĢāļĐāļāļĻāļēāļŠāļāļĢāđ āļŠāļāļīāļāļī MIS
- āļ§āļīāļĻāļ§āļāļĢāļĢāļĄāļāļāļĄāļāļīāļ§āđāļāļāļĢāđ āļ§āļīāļāļĒāļēāļāļēāļĢāļāļāļĄāļāļīāļ§āđāļāļāļĢāđ āļāļēāļĢāđāļāļīāļ āļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļ āļ§āļīāļĻāļ§āļāļĢāļĢāļĄāļāļēāļĢāđāļāļīāļ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđ āļāđāļēāļāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļ āļŦāļĢāļ·āļāļāļĢāļīāļŦāļēāļĢ Portfolio āļŦāļĢāļ·āļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āļāļĒāđāļēāļāļāđāļāļĒ 3 āļāļĩ.
- āļŠāļēāļĄāļēāļĢāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļŦāļĢāļ·āļāļāļĢāļ°āđāļĄāļīāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāđāļāļ·āđāļāđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāļāļļāļāļ āļēāļāļāļāļāļŠāļīāļāđāļāļ·āđāļāđāļĨāļ°āđāļāđāļēāļŦāļĄāļēāļĒāļāļāļāļāļāļāđāļāļĢ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāđāļēāļāļāļĨāļīāļāļ āļąāļāļāđāļŠāļīāļāđāļāļ·āđāļāļĢāļēāļĒāļĒāđāļāļĒ āđāļĨāļ°āļāļĢāļ°āļāļ§āļāļāļīāļāļēāļĢāļāļēāļŠāļīāļāđāļāļ·āđāļāļĢāļēāļĒāļĒāđāļāļĒ.
- āļŠāļēāļĄāļēāļĢāļāļāļģāđāļŠāļāļāđāļĨāļ°āļŠāļ·āđāļāļŠāļēāļĢāđāļāđāļāļĩ.
- āļŠāļēāļĄāļēāļĢāļāđāļāđāļ āļēāļĐāļēāļāļąāļāļāļĪāļĐāđāļāđāđāļāļĢāļ°āļāļąāļāļāļĩ.
- āļŠāļēāļĄāļēāļĢāļāđāļāđāđāļāļĢāđāļāļĢāļĄ SAS, SQL, MS āđāļāļīāļāļĨāļķāļ āđāļĨāļ° Python āđāļāđāļāļāđāļ.
- āļāđāļēāļāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāđāļĨāļ°āļĻāļķāļāļĐāļēāļāđāļĒāļāļēāļĒāļāļ§āļēāļĄāđāļāđāļāļŠāđāļ§āļāļāļąāļ§āļāļāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāđāļāļĒ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ) āļāļĩāđ https://krungthai.com/th/content/privacy-policy āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāđāļĄāđāļĄāļĩāđāļāļāļāļēāļŦāļĢāļ·āļāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļāđ āļāļĩāđāļāļ°āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ āļĢāļ§āļĄāļāļķāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļĻāļēāļŠāļāļēāđāļĨāļ°/āļŦāļĢāļ·āļāļŦāļĄāļđāđāđāļĨāļŦāļīāļ āļāļķāđāļāļāļēāļāļāļĢāļēāļāļāļāļĒāļđāđāđāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļāļāļāļāļāđāļēāļāđāļāđāļāļĒāđāļēāļāđāļ āļāļąāļāļāļąāđāļ āļāļĢāļļāļāļēāļāļĒāđāļēāļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāđāļāđ āļĢāļ§āļĄāļāļķāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļ āļŦāļĢāļ·āļāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§āļŦāļĢāļ·āļāļāđāļāļĄāļđāļĨāļāļ·āđāļāđāļ āļāļķāđāļāđāļĄāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļŦāļĢāļ·āļāđāļĄāđāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļŠāļĄāļąāļāļĢāļāļēāļāđāļ§āđāļāļāđāļ§āđāļāđāļāļāđ āļāļāļāļāļēāļāļāļĩāđ āļāļĢāļļāļāļēāļāļģāđāļāļīāļāļāļēāļĢāđāļŦāđāđāļāđāđāļāļ§āđāļēāđāļāđāļāļģāđāļāļīāļāļāļēāļĢāļĨāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ (āļāđāļēāļĄāļĩ) āļāļāļāļāļēāļāđāļĢāļāļđāđāļĄāđāđāļĨāļ°āđāļāļāļŠāļēāļĢāļāļ·āđāļāđāļāļāđāļāļāļāļĩāđāļāļ°āļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāļāļąāļāļāļĨāđāļēāļ§āđāļ§āđāļāļāđāļ§āđāļāđāļāļāđāđāļĨāđāļ§āļāđāļ§āļĒ āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļāđāļāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāļāļļāļāļāļĨāđāļāđāļēāļāļģāļāļēāļ āļŦāļĢāļ·āļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļļāļāļŠāļĄāļāļąāļāļī āļĨāļąāļāļĐāļāļ°āļāđāļāļāļŦāđāļēāļĄ āļŦāļĢāļ·āļāļāļīāļāļēāļĢāļāļēāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāļāļļāļāļāļĨāļāļĩāđāļāļ°āđāļŦāđāļāļģāļĢāļāļāļģāđāļŦāļāđāļ āļāļķāđāļāļāļēāļĢāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ·āđāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāđāļāđāļēāļāļģāļŠāļąāļāļāļēāđāļĨāļ°āļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļāļēāļĄāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļ āđāļāļāļĢāļāļĩāļāļĩāđāļāđāļēāļāđāļĄāđāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļāļēāļĢāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄ āļŦāļĢāļ·āļāļĄāļĩāļāļēāļĢāļāļāļāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ āļēāļĒāļŦāļĨāļąāļ āļāļāļēāļāļēāļĢāļāļēāļāđāļĄāđāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāļāļēāļĢāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļāđāļāđ āđāļĨāļ°āļāļēāļ āļāļģāđāļŦāđāļāđāļēāļāļŠāļđāļāđāļŠāļĩāļĒāđāļāļāļēāļŠāđāļāļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāđāļāđāļēāļāļģāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢ".
āļāļąāļāļĐāļ°:
Risk Management, Business Development
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Responsible for overall risk areas including technology, credit risk, market risk/liquidity risk, operational risk, and fraud risk.
- Managing and supervising team members and improving its operations.
- Maintaining the necessary and sufficient risk management framework.
- Developing and maintaining processes to support overall risk management transparency, analysis, and control requirements.
- Establishing, and revising documents, i.e. policies, rules, and manuals, regarding risk management.
- Developing quantitative risk analysis, and designing risk metrics and tools to help manage, measure, and monitor measurable risks.
- Monitoring risk-taking activities in the firm and risk profiles of the firm and reporting to senior management and committee.
- Decision-support and decision-making for large exposures, new products, and overall business development.
- Reviewing, summarizing, presenting, and advising senior management and formal risk management committees on key risk management issues.
- Ensuring best risk management practice within the business, adherence to each Risk Management Framework, as well as the veracity of risk reporting.
- Managed and was responsible for coordinating BCP operations.
- Other assigned tasks.
- Bachelor s degree or above in a related field.
- At least 5 years experience in operational risk, risk management, or related function.
- Having related experience in Financial Sectors or the FinTech Industry is preferred.
- Strong problem-solving, prioritization, and communication skills.
- Enjoy working in a fast-paced environment, highly adaptive, and using a flexible approach to get things done.
- Eager to learn about the blockchain, web3, and cryptocurrency business.
- Remark: Given the nature of the mentioned position, where employees are involved with customer data and asset values, and/or the company, to comply with legal and regulatory standards established by the Securities and Exchange Commission, as well as to align with laws and overseeing agencies, the company requires a criminal background check as part of the post-interview process before joining the company. Your criminal history information will be retained for a period of 6 months from the start date..
- Important: Candidate Privacy Policy.
- āļŠāļģāļāļąāļ:āđāļāļĢāļāļāđāļēāļāđāļĨāļ°āļāļģāļāļ§āļēāļĄāđāļāđāļēāđāļ: āļāđāļĒāļāļēāļĒāļāļ§āļēāļĄāđāļāđāļāļŠāđāļ§āļāļāļąāļ§āļāđāļēāļāļāļĢāļąāļāļĒāļēāļāļĢāļāļļāļāļāļĨ āļŠāļģāļŦāļĢāļąāļāļāļđāđāļŠāļĄāļąāļāļĢāļāļēāļ āđāļĨāļ°āļāļđāđāļŠāļĄāļąāļāļĢāđāļāđāļēāļāļķāļāļāļēāļ*.
āļāļąāļāļĐāļ°:
Risk Management, Accounting, SAS
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļģāļŦāļāļāļāļĢāļāļāļāđāļĒāļāļēāļĒ āđāļĨāļ°āļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļāļĨāļēāļ āļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļ āļēāļāļāļĨāđāļāļ āđāļĨāļ°āļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļāļāļāļđāđāļāđāļēāļāļāļāļāļāļēāļāļēāļĢ āļāļēāļĄāļŦāļĨāļąāļāđāļāļāļāđāļāļāļāļāļāļēāļāļēāļĢāđāļŦāđāļāļāļĢāļ°āđāļāļĻāđāļāļĒ āđāļĨāļ°āļŠāļāļāļāļĨāđāļāļāļāļąāļāļāļĨāļĒāļļāļāļāđāļāļāļāļāļāļēāļāļēāļĢ.
- āļāļđāđāļĨāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļāđāļŦāđāđāļāđāļāđāļāļāļēāļĄāļāļĢāļāļāļāđāļĒāļāļēāļĒ āđāļĨāļ°āļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļ (āļĢāļ°āļāļļāļāļĢāļ°āđāļĄāļīāļ āļāļ§āļāļāļļāļĄ āļāļīāļāļāļēāļĄ āđāļĨāļ°āļĢāļēāļĒāļāļēāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļ) āļāļĩāđāļāļģāļŦāļāļ.
- āđāļŦāđāļāļ§āļēāđāļŦāđāļāđāļāļĩāđāļĒāļ§āļāļąāļāļāļēāļĢāļāļāļāđāļāļāļāļĨāļīāļāļ āļąāļāļāđāļŦāđāļāļāļāđāļēāđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāļāđāļĒāļāļēāļĒāđāļĨāļ°āļĢāļ°āđāļāļĩāļĒāļāļāļāļāļāļāļēāļāļēāļĢ.
- āļāļđāđāļĨāļāļĢāļ°āļāļ§āļāļāļēāļĢ Risk Monitoring āļāļāļāļŦāļāđāļ§āļĒāļāļēāļ āļĢāļ§āļĄāļāļķāļāļāļēāļĢāļĢāļēāļĒāļāļēāļ āđāļĨāļ°āļāļēāļĢ Alert āļāđāļāļāļđāđāļāļĢāļīāļŦāļēāļĢāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāđāļŦāđāļĄāļĩāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄ.
- āļāļēāļāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļąāļāļāļĩāđāļāļ·āđāļāļāļēāļĢāļāļāļēāļāļēāļĢāđāļĨāļ°āļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļ āļēāļāļāļĨāđāļāļ.
- āļ§āļīāđāļāļĢāļ°āļŦāđ āļāļĢāļ°āđāļĄāļīāļ āļāļīāļāļāļēāļĄāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļāļĨāļēāļāļāļāļāļāļąāļāļāļĩāđāļāļ·āđāļāļāļēāļĢāļāļāļēāļāļēāļĢ (Banking Book) āđāļĨāļ°āļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļ āļēāļāļāļĨāđāļāļ āđāļĨāļ°āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāđāļŠāļāļāļāđāļāļāļđāđāļāļĢāļīāļŦāļēāļĢāđāļĨāļ°āļāļāļ°āļāļĢāļĢāļĄāļāļēāļĢāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļāļģāļŦāļāļāđāļāļāļēāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļ āđāļĨāļ°āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāļ·āđāļāļāļģāļŦāļāļāđāļāļ§āļāļēāļāļāļąāļāļāļēāļĢ / āļĨāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļ.
- āļāļ§āļāļāļļāļĄ āđāļĨāļ°āļāļđāđāļĨāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļāļĨāļēāļāļāļāļāļāļąāļāļāļĩāđāļāļ·āđāļāļāļēāļĢāļāļāļēāļāļēāļĢ āđāļĨāļ°āļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļ āļēāļāļāļĨāđāļāļāđāļŦāđāļāļĒāļđāđāļ āļēāļĒāđāļāđāđāļāļāļēāļ āļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļĩāđāļāļāļēāļāļēāļĢāļĒāļāļĄāļĢāļąāļāđāļāđ.
- āļāļąāļāļāļģāļāļąāļāļāļĩāļāđāļāļāļāļąāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļ (Hedge Accounting) āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļ.
- āļāļēāļāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļąāļāļāļĩāđāļāļ·āđāļāļāļēāļĢāļāđāļē.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āļāļĢāļ°āđāļĄāļīāļ āļāļīāļāļāļēāļĄāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļāļĨāļēāļāļāļāļāļāļąāļāļāļĩāđāļāļ·āđāļāļāļēāļĢāļāđāļē (Trading Book) āđāļĨāļ°āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāđāļŠāļāļāļāđāļ āļāļđāđāļāļĢāļīāļŦāļēāļĢāđāļĨāļ°āļāļāļ°āļāļĢāļĢāļĄāļāļēāļĢāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļāļģāļŦāļāļāđāļāļāļēāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļāļĨāļēāļāļāļāļāļāļąāļāļāļĩāđāļāļ·āđāļāļāļēāļĢāļāđāļē āđāļĨāļ°āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāļ·āđāļāļāļģāļŦāļāļ āđāļāļ§āļāļēāļāļāļąāļāļāļēāļĢ / āļĨāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļ.
- āļāļ§āļāļāļļāļĄ āđāļĨāļ°āļāļđāđāļĨāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļāļĨāļēāļāļāļāļāļāļąāļāļāļĩāđāļāļ·āđāļāļāļēāļĢāļāđāļēāđāļŦāđāļāļĒāļđāđāļ āļēāļĒāđāļāđāđāļāļāļēāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļĩāđāļāļāļēāļāļēāļĢāļĒāļāļĄāļĢāļąāļāđāļāđ.
- āđāļŦāđāļāļģāđāļāļ°āļāļģ āđāļĨāļ°āļāļģāļāļĢāļķāļāļĐāļēāđāļāļĩāđāļĒāļ§āļāļąāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļāļĨāļēāļāļŠāļģāļŦāļĢāļąāļāļāļĨāļīāļāļ āļąāļāļāđāļāļēāļāļāļēāļĢāđāļāļīāļāļāļĩāđāļāļāļāđāļŦāļĄāđ āļāļēāļĢāļāļąāļāļāļēāļĢāļđāļāđāļāļ āļāļĨāļīāļāļ āļąāļāļāđ āđāļĨāļ°āļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļ.
- āļāļĢāļ°āđāļĄāļīāļāđāļāļīāļāļāļāļāļāļļāļāđāļāļ·āđāļāļĢāļāļāļĢāļąāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļāļĨāļēāļāđāļŦāđāđāļāđāļāđāļāļāļēāļĄāļāļĩāđāļāļēāļāļāļēāļĢāļāļģāļŦāļāļ.
- āļāļēāļāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļāļāļāļđāđāļāđāļē.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āļāļĢāļ°āđāļĄāļīāļ āđāļĨāļ°āļāļīāļāļāļēāļĄāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļāļāļāļđāđāļāđāļē āđāļĨāļ°āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāđāļŠāļāļāļāđāļāļāļđāđāļāļĢāļīāļŦāļēāļĢāđāļĨāļ°āļāļāļ°āļāļĢāļĢāļĄāļāļēāļĢāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļāļđāđāļĨāļĢāļ°āļāļāļāļēāļāļāļāļāļŦāđāļāļāļāđāļēāđāļāļŠāđāļ§āļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļāļēāļāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļāļāļāļđāđāļāđāļē.
- āđāļŦāđāļāļģāđāļāļ°āļāļģ āđāļĨāļ°āļāļģāļāļĢāļķāļāļĐāļēāđāļāļĩāđāļĒāļ§āļāļąāļāļāļļāļĢāļāļĢāļĢāļĄāļāļāļāļŦāđāļāļāļāđāļēāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļāļāļāļđāđāļāđāļē āļŠāļģāļŦāļĢāļąāļāļāļĨāļīāļāļ āļąāļāļāđāļāļēāļāļāļēāļĢāđāļāļīāļāļāļĩāđāļāļāļāđāļŦāļĄāđ āļāļēāļĢāļāļąāļāļāļēāļĢāļđāļāđāļāļāļāļĨāļīāļāļ āļąāļāļāđ āđāļĨāļ°āļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļāļāļāļđāđāļāđāļē.
- āļāļĢāļ°āđāļĄāļīāļāļāđāļēāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļēāļāļāļēāļĢāļāļĢāļąāļāļāļļāļāļ āļēāļāđāļāļĢāļāļīāļāļāļāļāļāļđāđāļŠāļąāļāļāļē (Credit Valuation Adjustment: CVA) āļāļąāđāļāđāļāļŠāđāļ§āļāļāļāļ Pre-deal CVA āļŠāļģāļŦāļĢāļąāļāļāļĢāļ°āļāļāļāļāļēāļĢ Pricing āļāļļāļĢāļāļĢāļĢāļĄāļāļāļļāļāļąāļāļāđ āđāļĨāļ° Accounting CVA āļāļēāļĄāļĄāļēāļāļĢāļāļēāļāļĢāļēāļĒāļāļēāļāļāļēāļāļāļēāļĢāđāļāļīāļāļŠāļģāļŦāļĢāļąāļāļāļģāļŠāđāļāļāđāļēāļĒāļāļēāļĢāļāļąāļāļāļĩ.
- āļāļģāļāļ§āļāļĄāļđāļĨāļāđāļēāđāļāļĩāļĒāļāđāļāđāļēāļŠāļīāļāļāļĢāļąāļāļĒāđāđāļāļāļāļāļļāļĨ (Credit Equivalent Amount-CEA) āļŠāļģāļŦāļĢāļąāļāļāļļāļĢāļāļĢāļĢāļĄ Derivatives āđāļĨāļ°āļāļļāļĢāļāļĢāļĢāļĄ Repurchase Agreement āđāļāļ·āđāļāļāļĢāļ°āļāļāļāļāļēāļĢāļāļģāļāļ§āļāļŠāļīāļāļāļĢāļąāļāļĒāđāđāļŠāļĩāđāļĒāļāļāđāļēāļāđāļāļĢāļāļīāļāļāļāļāļāļđāđāļŠāļąāļāļāļēāđāļĨāļ°āļŦāļĨāļąāļāđāļāļāļāđāļāļēāļĢāļāļģāļāļąāļāļĨāļđāļāļŦāļāļĩāđāļĢāļēāļĒāđāļŦāļāđ (Single Lending Limit).
- āļāļēāļāļŠāļāļąāļāļŠāļāļļāļāļĢāļ°āļāļāļāļēāļ.
- āļāļģāļŦāļāđāļēāļāļĩāđ Administrator āđāļĨāļ° Setup Parameter āļĢāļ°āļāļāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļĩāđāļĢāļąāļāļāļīāļāļāļāļāđāļāļĒ āļāđāļēāļĒāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļāļĨāļēāļ āđāļāđāļ KRM, āļĢāļ°āļāļāļŦāđāļāļāļāđāļēāđāļāļīāļ, Reuters āđāļĨāļ° Bloomberg āđāļāđāļāļāđāļ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļĢāļ°āļŦāļ§āđāļēāļāļāļđāđāđāļāđāđāļĨāļ°āļŦāļāđāļ§āļĒāļāļēāļ IT āđāļāļ·āđāļāđāļŦāđāļāļēāļĢāļŠāļāļąāļāļŠāļāļļāļāļāļļāļāļāđāļēāļāđāļāļĩāđāļĒāļ§āļāļąāļāļāļēāļĢāđāļāđāļāļēāļāļĢāļ°āļāļāļāļēāļāļāļĨāļāļāļāļāļāļēāļĢ āļāļĢāļąāļāļāļĢāļļāļ āđāļāđāđāļāļĢāļ°āļāļāļāļēāļ.
- āļāļĢāļ§āļāļŠāļāļāļāđāļāļĄāļđāļĨāļāļąāļāļĢāļ°āļāļāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āļāļĢāļ°āļāļāļĒāļāļ āđāļĨāļ°āđāļāđāđāļ/āļāļĢāļąāļāļāļĢāļļāļ Market Data āđāļŦāđāļāļđāļāļāđāļāļāđāļŦāļĄāļēāļ°āļŠāļĄ.
- āļāļēāļāļāļĢāļ°āđāļĄāļīāļāļĄāļđāļĨāļāđāļēāļāļļāļĢāļāļĢāļĢāļĄāđāļĨāļ°āļāđāļāļĄāļđāļĨ.
- āļĻāļķāļāļĐāļēāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļ§āļēāļĄāļāđāļāļāļāļēāļĢ Data āđāļāļ·āđāļāđāļāđāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļ āļĢāļ§āļĄāļāļķāļāļāļēāļĢāļāļąāļāļāļģ Data Specification āđāļāđāļ Position Data āđāļĨāļ° Market Data āđāļāđāļāļāđāļ āđāļāļ·āđāļāļĢāļāļāļĢāļąāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļāļĨāļēāļ āļāļ§āļģāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļ āļēāļ āļāļĨāđāļāļ āđāļĨāļ°āļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļāļāļāļđāđāļāđāļē āđāļĨāļ°āļāļēāļĢāļāļģāļāļ§āļāđāļāļīāļāļāļāļāļāļļāļāđāļāļ·āđāļāļĢāļāļāļĢāļąāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļāļĨāļēāļ.
- āļāļĢāļ§āļāļŠāļāļāļāđāļāļĄāļđāļĨāļāļąāļāļĢāļ°āļāļāļāļēāļ/āļĢāļēāļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āļĢāļ§āļĄāļāļķāļāļāļĢāļ°āļāļāļĒāļāļ āđāļĨāļ°āđāļāđāđāļ/āļāļĢāļąāļāļāļĢāļļāļ Position Data āđāļŦāđāļāļđāļāļāđāļāļāđāļŦāļĄāļēāļ°āļŠāļĄ.
- āļāļĢāļ°āđāļĄāļīāļ āđāļĨāļ°āļāļĢāļ§āļāļŠāļāļāļ§āļīāļāļĩāļāļēāļĢāļāļĢāļ°āđāļĄāļīāļāļĄāļđāļĨāļāđāļē (Pricing) āļāļāļāļĢāļ°āļāļāļāļēāļāļāļāļāļŦāđāļāļāļāđāļē āļāļĢāđāļāļĄāļāļąāđāļāļāļĢāļ°āđāļĄāļīāļāļĄāļđāļĨāļāđāļēāļāļēāļĄāļĢāļēāļāļēāļāļĨāļēāļ (Mark to Market) āđāļĨāļ°āļāļēāļĄāđāļāļāļāļģāļĨāļāļ (Mark to Model) āļāļāļāļāļļāļĢāļāļĢāļĢāļĄāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļāļāļīāļāļąāļāļīāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļ āļēāļĒāđāļāđāļŠāļąāļāļāļē Credit Support Annex (CSA) āđāļāđāļ āļāļāļāļ§āļāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāļāļĨ Mark to Market āļāļāļāļāļđāđāļŠāļąāļāļāļē āđāļāđāļāļāđāļ.
- āļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļāļāļĢāļīāļāļāļēāļāļĢāļĩāļāļķāđāļāđāļ āļāđāļēāļāļāļĢāļīāļŦāļēāļĢāļāļļāļĢāļāļīāļ āđāļĻāļĢāļĐāļāļĻāļēāļŠāļāļĢāđ āļŠāļēāļāļēāļāļēāļĢāļāļąāļāļāļĩ āļŠāļēāļāļēāļāļēāļĢāđāļāļīāļ āļŠāļēāļāļēāļŠāļāļīāļāļī āļŠāļēāļāļēāļāļāļĄāļāļīāļ§āđāļāļāļĢāđ āļŠāļēāļāļēāļāļēāļĢāļāļĨāļēāļ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļāļāļĢāļđāđāđāļāļāļļāļĢāļāļīāļāļāļāļēāļāļēāļĢ āļāļĨāļīāļāļ āļąāļāļāđāđāļĨāļ°āļāļĢāļīāļāļēāļĢ āļĢāļ§āļĄāļāļķāļāļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļāļāļēāļĢāļāļĨāļēāļ āđāļĨāļ°āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļĩāđāļāļĒāļđāđāđāļāļāļ§āļēāļĄāļĢāļąāļāļāļīāļāļāļāļ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāļāļ āļĢāļ°āđāļāļĩāļĒāļ āļāđāļĒāļāļēāļĒ āļŦāļĨāļąāļāđāļāļāļāđāļĄāļēāļāļĢāļāļēāļāļŠāļēāļāļĨ āļāđāļēāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāđāļēāļāļāļĨāļēāļāđāļāļīāļāđāļĨāļ°āļāļĨāļēāļāļāļļāļ.
- āļŠāļēāļĄāļēāļĢāļāđāļāđāļ āļēāļĐāļēāļāļąāļāļāļĪāļĐāđāļāđāđāļāļĢāļ°āļāļąāļāļāļĩāļŠāļēāļĄāļēāļĢāļāđāļāđāļāļāļĄāļāļīāļ§āđāļāļāļĢāđāđāļāđāđāļāđāļāļāļĒāđāļēāļāļāļĩ.
- āļŠāļēāļĄāļēāļĢāļāđāļāđāđāļāļĢāđāļāļĢāļĄ R, SAS, SQL, MS āđāļāļīāļāļĨāļķāļ āđāļĨāļ° Python āđāļāđāļāļāđāļ..
- āļāđāļēāļāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāđāļĨāļ°āļĻāļķāļāļĐāļēāļāđāļĒāļāļēāļĒāļāļ§āļēāļĄāđāļāđāļāļŠāđāļ§āļāļāļąāļ§āļāļāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāđāļāļĒ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ) āļāļĩāđ https://krungthai.com/th/content/privacy-policy āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāđāļĄāđāļĄāļĩāđāļāļāļāļēāļŦāļĢāļ·āļāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļāđ āļāļĩāđāļāļ°āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ āļĢāļ§āļĄāļāļķāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļĻāļēāļŠāļāļēāđāļĨāļ°/āļŦāļĢāļ·āļāļŦāļĄāļđāđāđāļĨāļŦāļīāļ āļāļķāđāļāļāļēāļāļāļĢāļēāļāļāļāļĒāļđāđāđāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļāļāļāļāļāđāļēāļāđāļāđāļāļĒāđāļēāļāđāļ āļāļąāļāļāļąāđāļ āļāļĢāļļāļāļēāļāļĒāđāļēāļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāđāļāđ āļĢāļ§āļĄāļāļķāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļ āļŦāļĢāļ·āļāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§āļŦāļĢāļ·āļāļāđāļāļĄāļđāļĨāļāļ·āđāļāđāļ āļāļķāđāļāđāļĄāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļŦāļĢāļ·āļāđāļĄāđāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļŠāļĄāļąāļāļĢāļāļēāļāđāļ§āđāļāļāđāļ§āđāļāđāļāļāđ āļāļāļāļāļēāļāļāļĩāđ āļāļĢāļļāļāļēāļāļģāđāļāļīāļāļāļēāļĢāđāļŦāđāđāļāđāđāļāļ§āđāļēāđāļāđāļāļģāđāļāļīāļāļāļēāļĢāļĨāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ (āļāđāļēāļĄāļĩ) āļāļāļāļāļēāļāđāļĢāļāļđāđāļĄāđāđāļĨāļ°āđāļāļāļŠāļēāļĢāļāļ·āđāļāđāļāļāđāļāļāļāļĩāđāļāļ°āļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāļāļąāļāļāļĨāđāļēāļ§āđāļ§āđāļāļāđāļ§āđāļāđāļāļāđāđāļĨāđāļ§āļāđāļ§āļĒ āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļāđāļāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāļāļļāļāļāļĨāđāļāđāļēāļāļģāļāļēāļ āļŦāļĢāļ·āļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļļāļāļŠāļĄāļāļąāļāļī āļĨāļąāļāļĐāļāļ°āļāđāļāļāļŦāđāļēāļĄ āļŦāļĢāļ·āļāļāļīāļāļēāļĢāļāļēāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāļāļļāļāļāļĨāļāļĩāđāļāļ°āđāļŦāđāļāļģāļĢāļāļāļģāđāļŦāļāđāļ āļāļķāđāļāļāļēāļĢāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ·āđāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāđāļāđāļēāļāļģāļŠāļąāļāļāļēāđāļĨāļ°āļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļāļēāļĄāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļ āđāļāļāļĢāļāļĩāļāļĩāđāļāđāļēāļāđāļĄāđāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļāļēāļĢāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄ āļŦāļĢāļ·āļāļĄāļĩāļāļēāļĢāļāļāļāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ āļēāļĒāļŦāļĨāļąāļ āļāļāļēāļāļēāļĢāļāļēāļāđāļĄāđāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāļāļēāļĢāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļāđāļāđ āđāļĨāļ°āļāļēāļ āļāļģāđāļŦāđāļāđāļēāļāļŠāļđāļāđāļŠāļĩāļĒāđāļāļāļēāļŠāđāļāļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāđāļāđāļēāļāļģāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢ ".
āļāļąāļāļĐāļ°:
Cloud Computing, RESTful, JSON
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Bachelor or master s degree in computer and Telecommunication Engineering, Computer Science, IT or in a related field.
- 8 - 13 years of experience in the Computer or Telecommunication field.
- Good Knowledge on cloud computing & edge computing technology.
- Good understanding on infrastructure technic that related of TCP/IP, Switch, Router, Firewall, LBS, and DNS.
- Good understanding technic that related of IoT/M2M/MEC Network Protocols - HTTP, HTTPS, Restful, MQTT, COAP, JSON objects, API, SNMP.
- Operating System knowledge: Linux-Redhat, CenOS, Windows Server.
- Database knowledge - Mongo DB, NoSQL DB, SQL, PostgreSQL.
- Good understanding of Docker and Kubernetes operations.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Business Development, Risk Management, ISO 27001
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Assess existing cybersecurity frameworks, identify gaps, and provide actionable recommendations for improvement.
- Develop tailored cybersecurity strategies that align with the client s business goals, regulatory requirements, and risk profile.
- Conduct cybersecurity risk assessments and develop mitigation plans to address potential security threats.
- Ensure client strategies comply with relevant cybersecurity regulations, standards (e.g., NIST, ISO), and industry best practices.
- Manage cybersecurity projects from inception through completion, ensuring timely delivery and client satisfaction.
- Build and maintain strong relationships with clients, serving as a trusted advisor on cybersecurity matters.
- Lead and mentor a team of cybersecurity consultants, fostering a culture of collaboration and continuous improvement.
- Support business development activities by identifying new opportunities and contributing to proposal development.
- Your role as a leader: At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Assistant Managers across our Firm are expected toDevelop diverse, high-performing people and teams through new and meaningful development opportunities.
- Collaborate effectively to build productive relationships and networks.
- Understand and lead the execution of key objectives and priorities for internal as well as external stakeholders.
- Influence stakeholders, teams, and individuals positively - leading by example and providing equal opportunities for our people to grow, develop and succeed.
- Deliver superior value and high-quality results to stakeholders while driving high performance from people across Deloitte.
- Apply their understanding of disruptive trends and competitor activity to recommend changes, in line with leading practices.
- Enough about us, let's talk about youDegree in cyber security, computer science, business IT or equivalent.
- Excellent communication and presentation skills, with the ability to influence senior stakeholders and deliver compelling recommendations.
- Strong leadership and team management capabilities, with experience mentoring and developing consultants.
- 3+ years of experience in cybersecurity, with a focus on strategy development, security governance, and risk management.
- Strong understanding of cybersecurity frameworks, regulatory requirements, and industry standards (e.g., NIST, ISO 27001, MITRE).
- Preferred CISA, CISM, CISSP certification or related security certification.
- Due to volume of applications, we regret that only shortlisted candidates will be notified. Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information.
- LI-AA1 Requisition ID: 106366In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.
āļāļąāļāļĐāļ°:
ISO 27001
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Protect the organization's computer networks and systems against a range of cyber threats, such as hacking attempts, data breaches, and different types of cyber attacks. The
- responsibilities of this role include creating, deploying, and overseeing security strategies and technologies to defend the organization IT security.
- Lead the strategic direction, development, and implementation of cybersecurity solutions and practices to protect the organization from sophisticated cyber threats and ...
- Serve as the foremost cybersecurity expert within the organization, providing deep technical expertise and leadership in the design, evaluation, and optimization of complex security architectures.
- Develop comprehensive cybersecurity frameworks that align with industry best practices and regulatory standards, ensuring the organization's resilience against cyber attacks.
- Conduct sophisticated risk assessments and threat modeling exercises to identify potential security gaps and develop advanced strategies for mitigation and prevention.
- Lead the incident response and crisis management efforts for high-impact security breaches, coordinating with cross-functional teams to ensure rapid containment and recovery.
- Drive the adoption of cutting-edge security technologies and methodologies, including artificial intelligence and machine learning, to enhance detection and response capabilities.
- Establish and maintain strong relationships with external cybersecurity agencies, industry groups, and technology partners to stay abreast of emerging threats and trends.
- Develop and manage the cybersecurity budget, ensuring strategic allocation of resources to high-priority projects and initiatives.
- Advanced degree in Computer Science, Information Security, or a related field, with specialized knowledge in cybersecurity.
- A minimum of 5 years of experience in Infrastructure, 3 years of cybersecurity, with at least 2 years in a strategic leadership or management role overseeing cybersecurity functions.
- Professional cybersecurity certifications, such as CISSP, CISM, CCSP, or similar, are required.
- Proven expertise in developing and implementing cybersecurity strategies and architectures to protect complex enterprise environments.
- Other: Deep knowledge of the cybersecurity landscape, including emerging threats, advanced persistent threats (APT), regulatory requirements, and industry best practices.
- Other: ISO 27001.
āļāļąāļāļĐāļ°:
UNIX, Linux
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Responsible for Monitor and analyze Server performance, Operating System and ensure efficient utilization of Server Hardware.
- Responsible for performance tuning and corrective maintenance to assure that Server Hardware, OS and Network Connection is performing efficiently
- Installing and upgrading UNIX / Window system software on company servers and computers.
- Creating UNIX / Windows file systems.
- Setting up and maintaining UNIX / Windows user accounts and access management systems.
- Implementing network and computer system policies.
- Detecting and troubleshooting software and hardware issues.
- Responding to user requests and software errors.
- Monitoring the performance of the system and server.
- Creating backup and recovery policies.
- Setting up and monitoring security policies.
- Applying patches and upgrades when necessary.
- At least 5 years experience as a UNIX/Window system administrator.
- Bachelor s degree in computer science, computer engineering, or a similar field.
- Knowledge of UNIX, LINUX and Windows operating systems, storage environments, file systems, and network protocols.
- Detailed knowledge of UNIX/Window principles, file editing, UNIX commands, and file manipulation.
- Familiarity with Windows, UNIX, LINUX, and LINUX shell scripting.
- Knowledge of networking principles including routing, subnets, TCP, IP, VLANs, and UDP.
- Understanding of backup procedures and storage management.
- In-depth knowledge of computer hardware systems including circuit boards, memory modules, and processors.
- Excellent troubleshooting skills.
āļāļąāļāļĐāļ°:
Kubernetes, Compliance, Database Administration, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ60,000 - āļŋ80,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Multi-Cloud Management: Design, deploy, and manage infrastructure on multi-cloud platforms, ensuring high availability, fault tolerance, and cost optimization.
- Kubernetes Administration: Manage Kubernetes clusters for efficient deployment and orchestration of applications and services, focusing on scalability and resilience.
- Developer Experience (DevEx): Enhance and streamline development workflows, tools, and processes to improve the efficiency and productivity of our engineering teams.
- Security and Compliance: Implement and maintain security best practices across our infrastructure, applications, and CI/CD pipelines to protect data and ensure regulatory compliance.
- Database Administration: Manage database access controls, configure, monitor, and handle infrastructure-level maintenance for PostgreSQL, MongoDB, and Elasticsearch to ensure secure and reliable performance.
- CI/CD and Automation: Develop and maintain CI/CD pipelines to automate and accelerate delivery while ensuring code quality and security standards.
- Basic Scripting and Coding: Support automation tasks and infrastructure management with basic scripting and coding, using languages such as Python, Bash, or similar.
- Scripting and Coding: Assist with automation tasks, infrastructure management using Python, JavaScript, Bash, SQL or similar as needed to support efficient operations and enhance system functionality.
- Bachelor's degree in Computer Science, Engineering, or related field.
- 4+ years of relevant work experience in DevOps, Systems Engineering, or related roles.
- Solid experience in multi-cloud environments (AWS, GCP, Azure, etc) and infrastructure as code tools like Terraform, ArgoCD, FluxCD.
- Strong proficiency in Kubernetes and container orchestration.
- Proficiency with CI/CD practices and tools (e.g., Jenkins, GitLab CI, GitHub Actions).
- Understanding of secure cloud architecture, network security, and compliance.
- Hands-on experience with database management (PostgreSQL, MongoDB).
- Basic scripting/coding/querying skills in Python, Javascript, Bash, SQL or other languages.
- Professional proficiency in written and verbal English.
- Compensation and Benefits.
- Competitive base salary.
- 10 days of annual leave in the first year, growing by 1 day per year to 15 days per year.
- 5 days of business leave.
- 10 - 20% Share of commission from owner and client referral.
- Health insurance on top of standard social security.
- BOI-sponsored visa & work permit for expats.
- Work Culture.
- International work environment and culture.
- 5 work days per week with 2 days work-from-home.
- Open communication that encourages feedback and idea-sharing.
- Innovative mindset that empowers creativity and new ideas.
- Established and defined career paths.
- Monthly Celebration & Parties.
- Company Values.
- Customer & Partner First.
- Integrity & Reliability.
- Team Collaboration & Innovation.
- Proactive Ownership.
- Performance Culture: Work hard, have fun, make history.
- Send your application now!.
- Email Subject: DevOps Engineer - [Your Name].
- Please email your updated English CV to [email protected] using the format..
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Software Architecture, Leadership Skill, Problem Solving, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Support business and IT strategic planning by assessing the impact of strategies on IT architecture.
- Evaluate innovations and their implications for business and IT architecture.
- Provide architectural insights during vendor selection processes and validate proposed solutions.
- Advise on project architecture integration and ensure alignment with EA principles and standards.
- Identify and rationalize application portfolios, including decommission planning for redundant applications.
- Promote and update the Enterprise Architecture (EA) framework, principles, and standards.
- Maintain and ensure up-to-date information within the EA repository.
- Bachelor s or Master s degree in Information System Management, Computer Engineering, or related fields.
- Minimum of 5 years of experience in IT Architect roles within large-scale projects.
- Knowledge of SAP ERP systems or other SAP solutions is an advantage.
- Strong understanding of architecture models (e.g., TOGAF), IT governance, and development methods (e.g., SDLC, Agile, Scrum, DevOps).
- Proficiency in both Thai and English communication, including written and verbal skills.
- Ability to explain complex technical concepts to non-technical audiences.
- Strong leadership, influencing, and negotiation skills.
- Excellent analytical and problem-solving abilities.
- Why to apply?.
- Join Bangchak Corporation to be part of a forward-thinking team dedicated to sustainable energy solutions. Enjoy a collaborative work environment, opportunities for professional growth, and the chance to contribute to impactful projects that shape the future of energy.
āļāļąāļāļĐāļ°:
DevOps, Software Development, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Be team leader to drive squad to deliver software with quality and on plan.
- Manage team capacity to be able delivery software on plan and priority based.
- Co-ordinate with stakeholder (Business Team/Developer/QA/PO/TPM/DEVOPS/Solution Architect) to solve any blocking issue in software development.
- Work with team to come up with solution to solve business requirement/problems.
- Understand and adapt Web Front End Architecture, Microservice Architect, Event-Driven Architecture, Container Orchestration and Cloud technology to deliver software.
- Create software architect design to delivery functional/non-functional requirements.
- Facilitate team in Agile ceremony with SA/BA.
- Understand and adapt testing methodology.
- Understand and adapt Agile methodology in software development.
- Understand and adapt CI/CD and be familiar with DEVOPS tools in software development.
- Work with L1/L2 support team as L3 to solve any production issues within SLA.
- Be leader to be consultant for Jr./Sr. team member/teammate to solve some blocking issues.
- Bachelor's in Computer Science or related field.
- 6+ years proven experience leading teams to deliver high-quality software on schedule, managing team capacity, and prioritizing tasks effectively.
- Skilled in creating software architecture that meets both functional and non-functional requirements, along with clear documentation.
- Experienced in Agile methodologies, facilitating Agile ceremonies, and applying CI/CD practices with familiarity in DevOps tools.
- Proficient in troubleshooting production issues (L3 support), guiding team members, and mentoring junior engineers to overcome technical challenges.
- Good English proficiency.
- CP AXTRA | Lotus's
- CP AXTRA Public Company Limited.
- Nawamin Office: Buengkum, Bangkok 10230, Thailand.
- By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .
āļāļąāļāļĐāļ°:
Oracle, DevOps, Software Development, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Work with team to deliver software with quality and on plan.
- Work with stakeholder to solve blocking issue with team.
- Define technology roadmap/strategy based on direction and distribute to team level.
- Build team capability to follow technology roadmap/strategy.
- Do resource planning and recruit Developer/SA/BA staff based on hiring strategy.
- Understand and adapt Web Front End Architecture, Microservice Architect, Event-Driven Architecture, Container Orchestration and Cloud technology to deliver software.
- Understand and adapt Agile methodology/DEVOPS in software development.
- Build team culture to be great place to work.
- Supervise/mentor/coach team member to archive the goal/objective and improve skills as their personal development plan.
- Bachelor's in Computer Science or related field.
- 10+ years experience with proven track record of successfully leading teams in delivering high-quality software on schedule while ensuring adherence to project plans and specifications.
- Minimum 5+ years experience in complex Oracle ERP or SAP project implementation.
- Minimum 2 cycles of project implementation experience.
- Have database management knowledge [Oracle, MSSQL].
- Experienced in solution delivery process with proven record.
- Experienced in Agile methodologies, DevOps adaptation.
- Ability to define and articulate a clear technology roadmap and strategy that aligns with organizational goals, effectively communicating this vision to team members.
- Experience in fostering team capabilities to follow the technology roadmap, including organizing training sessions and providing resources for skill development.
- Strong background in resource planning and executing hiring strategies to recruit Developers, System Analysts, and Business Analysts, ensuring the team has the right mix of skills and expertise.
- Good English proficiency.
- CP AXTRA | Lotus's
- CP AXTRA Public Company Limited.
- Nawamin Office: Buengkum, Bangkok 10230, Thailand.
- By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .
āļāļąāļāļĐāļ°:
node.js, Java, Spring Boot
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Develop and maintain robust backend services using Node.js, Nest.js, Java, Spring Boot, Camel, and cloud platforms like AWS and GCP.
- Design and build scalable, event-driven, and failure-tolerant systems. Advocate for and implement best practices in DevSecOps, test-driven development (TDD), and continuous delivery pipelines.
- Collaborate on diverse projects in domains such as Payment, Cart, Fulfillment, Search, and Recommendation.
- Vector Search: Working with vector similarity search to enhance relevance.
- ML Models (XGBoost, CNNs): Applying machine learning models for search relevance and personalization.
- LLMs & PEFT: Fine-tuning large language models using Parameter-Efficient Fine-Tuning (PEFT).
- (These skills are not mandatory but would be considered a strong plus.).
- 7+ years of experience in backend development, focusing on Node.js, Nest.js, Java, Spring Boot, Camel, and cloud platforms like AWS and GCP.
- Strong knowledge of PostgreSQL, Redis, distributed locking mechanisms, functional programming, design patterns, and advanced isolation levels.
- Hands-on experience with REST and GraphQL API development.
- Familiarity with Kafka, SQS, Kubernetes, and containerized application deployment.
- Practical experience with OLAP databases like BigQueryand Redshift, analytics tools such as Mixpanel and Amplitude, and AI platforms like SageMaker, MLflow, and Vertex AI.
- Knowledge of NLP, data structures like graphs, BK Trees, B+ Trees, and the Pub/Sub paradigm.
- Excellent communication, collaboration, and problem-solving skills with a growth-oriented mindset.
- CP AXTRA | Lotus's
- CP AXTRA Public Company Limited.
- Nawamin Office: Buengkum, Bangkok 10230, Thailand.
- By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy.
āļāļąāļāļĐāļ°:
Big Data, ETL, SQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Develop and maintain robust data pipelines to ingest, process, and transform raw data into formats suitable for LLM training.
- Conduct meeting with users to understand the data requirements and perform database design based on data understanding and requirements with consideration for performance.
- Maintain data dictionary, relationship and its interpretation.
- Analyze problem and find resolution, as well as work closely with administrators to monitor performance and advise any necessary infrastructure changes.
- Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
- Develop big data solutions for batch processing and near real-time streaming.
- Own end-to-end data ETL/ELT process framework from Data Source to Data warehouse.
- Select and integrate appropriate tools and frameworks required to provide requested capabilities.
- Design and develop BI solutions.
- Hands-on development mentality, with a willingness to troubleshoot and solve complex problems.
- Keep abreast of new developments in the big data ecosystem and learn new technologies.
- Ability to effectively work independently and handle multiple priorities.
- Bachelor degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field.
- 3+ year's experiences in Data Management or Data Engineer (Retail or E-Commerce business is preferrable).
- Expert experience in query language (SQL), Databrick SQL, PostgreSQL.
- Experience in Big Data Technologies like Hadoop, Apache Spark, Databrick.
- Experience in Python is a must.
- Experience in Generative AI is a must.
- Knowledge in machine/statistical learning, data mining is a plus.
- Strong analytical, problem solving, communication and interpersonal skills.
- Having good attitude toward team working and willing to work hard.
- CP AXTRA | Lotus's
- CP AXTRA Public Company Limited.
- Nawamin Office: Buengkum, Bangkok 10230, Thailand.
- By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .
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āļĨāļāļāļāļģ 5 āļŠāļīāđāļāļāļĩāđāļŦāļĨāļąāļāđāļĨāļīāļāļāļēāļ āļāļĩāļ§āļīāļāļāļļāļāļāļ°āđāļāļĨāļĩāđāļĒāļāđāļāļāļĨāļāļāļāļēāļĨ
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āļāļģāđāļāļ°āļāļģāļāļēāļĢāļŦāļēāļāļēāļāđāļāļīāļāđāļāļĨāļŠāļļāļāļĒāļāļ 50 āļāļĢāļīāļĐāļąāļāļāļĩāđāļāļāļĢāļļāđāļāđāļŦāļĄāđāļāļĒāļēāļāļĢāđāļ§āļĄāļāļēāļāļāđāļ§āļĒāļĄāļēāļāļāļĩāđāļŠāļļāļ 2025
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