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Productive Enterprise Limited
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Experience:
10 years required
Skills:
Accounting, Accounts Payable, Accounts Receivable
Job type:
Full-time
Salary:
negotiable
- Ensure summary report of Accounts payable, Accounts receivable and Inventory for retail business is accurate and submit in a timely manner.
- Support Commercial teams to solve problems and act as adviser in Accounting area.
- Support monthly account closing team in a timely and accurate manner.
- Summary data of Consignment Vendor or brand out to communicate with Commercial teams.
- Gather data to generate reports such as revenue report, royalty report, etc.
- Monthly review abnormal stock balance and inform Trade account payable team to hold payment.
- Control and summary Manual return to vendor document (MRTV).
- Control and observation for annual stock count.
- Team management and improve daily operation process.
- Support projects for Finance and Accounting or new business/channel.
- Liaise with Commercial teams, Vendors and other departments.
- Bachelor's degree in accounting.
- Minimum of 10 years of experience in accounting, with a strong background in retail business.
- Overall functions of accounting such as AR, AP, Inventory, GL and Tax related.
- Knowledge of accounting principles, revenue recognition, and inventory management.
- Strong analytical, problem-solving, and data analysis skills.
- Effective communication and interpersonal abilities.
- Detail-oriented with a commitment to accuracy and compliance.
- Familiarity with retail and consignment industry-specific regulations and standards is a plus.
- Experience in dealing with retail partners is essential.
- Proficiency in using the SAP system.
Experience:
5 years required
Skills:
Leadership Skill, Good Communication Skills, Finance, Excel, English
Job type:
Full-time
Salary:
āļŋ80,000 - āļŋ120,000, negotiable
- Plan and manage activities to ensure agreed the standard process is met and align with the business directions.
- Process optimization in Fund Supervisory and Custodian Service.
- Maintain strong business partnership with Finance Institute, Securities Services, Technology, Operations and Human Resource to provide incremental value added services.
- Supervise our teams are operate/manage within turn around time and shall align to Prospectus, Local Operating procedure manaual, Local Law and regulation.
- Supervise Fund and related parties are smooth operate.
- Ensure satifactory internal audit and regulatory inspection.
- Work with Relationship managers, Securities Service Product, Compliance and related unites to efficient our duties and obligations.
- To management Fund/Customer require whether shall provide supporting document, services within turn around time.
- Continuously communicated, coach, share knowledge and provide appropriate training to teams.
- Identify high potential employees capable of driving future growth and performance.
- Establishes an inclusive and positive team oriented work enviroment and treats all employees with dignity and respect.
- Ensure Funds is operate to Prospectus, Local law and regulations.
- Ensure our process and duties comply to Local operating procedure manual, Prospectus, Local Law and Regulation.
- Bachelor s degree or upper in Business, Finance or Economics.
- Experienced custodian Bank 5 years.
- Knowledge Banking product such as Fund Transfer (Bahtnet, SWIFT).
- Knowledge securities services such as investment securities (Bond, Common stock, Debenture, Time deposit, Paper Securities).
- Knowledge local law and regulation of BOT such as NRBA, NRBS, DMS.
- Knowledge local law and regulation of SEC such as Mutual Investment, Property Fund Investment.
Experience:
4 years required
Skills:
Risk Management, Data Analysis
Job type:
Full-time
Salary:
negotiable
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Skills:
Excel, Work Well Under Pressure, Creativity, English
Job type:
Full-time
Salary:
negotiable
- Bachelor or Master's degree in Marketing or a related field.
- At least 3-5 years experience in Marketing.
- Good command of English in both speaking and writing skills.
- Computer literacy in MS Office (Word, Excel, PowerPoint).
- Accountability, team player, enthusiasm and work well under pressure.
- Well organized, creativity, communication, and multi-task skills.
Experience:
5 years required
Skills:
English
Job type:
Full-time
Salary:
negotiable
- Identify same location partners with proximity.
- Offer services to similar partners [landlords, concierge, in mall Department Store Boutique Managers and Head of Clienteling.
- Net working within local luxury field.
- Work on partnership strategy and yearly calendar to animate & generate traffic driver with relevant customer audience.
- Detect client Data Preferences: Data Analytics:Implement and monitor the behaviour in store tracker (BA Portal).
- Know your top 30 clients.
- Work and liaise closely with CRM teams to leverage on key analytics to build action plan.
- Initiate VIP Experience:Follow up on relevant moments to be address to VIP customers.
- Initiate events Active customer conversion by leveraging on in-store eventing for Hallmarks/New launches.
- Evaluate & Monitor Activations:Monitor and coach store team and each BA's on their clienteling KPI's.
- Weekly chat coaching per BA.
- Provide strategy and all assets to the store team to always increase the level of service in the store.
- Evaluate perfornace of each BA and In Store event initiatives taken and leep improving the model to better scale.
- You HaveAt least 5 years of experiences in luxury retails, customer service, or hospitality industries.
- Proven experience in a client-facing role within the luxury field.
- Proven ability to influence stakeholders across all levels.
- Strong leadership skills with the ability to coach and motivate a team.
- Exceptional communication skill delivering exceptional customer service and work with multiple stakeholders.
- Proficiency in CRM systems and ability to analyze data and draw actionable insights.
- Good English communication both written and speaking.
Skills:
Compliance, Legal, Work Well Under Pressure
Job type:
Full-time
Salary:
negotiable
- Act as the primary point of contact within the organisation for members of staff, regulators and any relevant public bodies on issues related to data protection.
- Ensure the company's policies are in accordance with the General Data Protection Regulation (GDPR), Personal Data Protection Act (PDPA) and codes of practice.
- Give advice and recommendations to the company about interpreting and applying data protection rules.
- Raise awareness and provide staff training for any employees involved with processing activities.
- Maintain records of processing operations.
- Handle complaints and requests by institutions, the data controller and data subjects.
- Cooperate with the supervisory authority and liaise with internal stakeholders.
- Job qualificationsExperience working in data protection compliance or a related field, with real PDPA implementation experience a plus.
- Expertise in data protection laws and practices, including an in-depth understanding of the GDPR and PDPA.
- Experience within a legal, audit, risk, IT or operations function.
- Ability to work well under pressure and manage sensitive and confidential information.
- Excellent verbal and written communication skills with strong attention to detail.
- Great interpersonal skills and the ability to work well both independently and as part of a team.
- To help us comply with PDPA rules, please don't include your religion or racial information on your CV.
- Education (if blank, degree and/or field of study not specified).
- Degrees/Field of Study required: Degrees/Field of Study preferred:Certifications (if blank, certifications not specified).
- Required Skills.
- Optional Skills.
- Accepting Feedback, Active Listening, Communication, Cybersecurity Governance, Data Archiving, Data Flow Mapping, Data Privacy Act, Emotional Regulation, Empathy, Enterprise Content Management, Incident Response Plan, Inclusion, Information Rights Management (IRM), Information Security, Information Security Governance, Information Security Management System (ISMS), Intellectual Curiosity, Optimism, Privacy and Security, Security Compliance Management, Security Control, Security Framework Management, Security Incident Management, Security Troubleshooting, TeamworkDesired Languages (If blank, desired languages not specified).
- Travel Requirements.
- Available for Work Visa Sponsorship?.
- Government Clearance Required?.
Experience:
2 years required
Skills:
Research, Financial Analysis, Market Analysis, English
Job type:
Full-time
Salary:
negotiable
- Develop in depth understanding of current and future banking business strategy.
- Analyze current and long-term issues, both global and Thai-specific, to identify key opportunities and risks to Krungthai, our corporate, SME and retail clients.
- Forecast macroeconomic and financial variables.
- Write top quality articles and deliver presentations to disseminate research to top management, clients, and the public.
- Graduate degree in economics or related fields, Ph.D. holder is an advantage.
- We prefer a candidate with at least 2 years of work experience in economic policy research, consulting, or other relevant work experience, although we also welcome fresh graduate.
- Experienced in using econometrics and/or data analytics tools.
- Outstanding analytical and inter-personal skills.
- Strong writing and presentation skills (Thai and English).
- Able to take initiatives, lead projects and own assignments end-to-end.
- 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".
Experience:
3 years required
Skills:
SQL, Python, English
Job type:
Full-time
Salary:
negotiable
- Research on AI/ML, MarTech and AdTech to explore new tools and techniques.
- Prototype and test hyper-personalization engine using these innovations to ensure benefits and efficiency before full-scale deployment.
- Design, implement and automate personalization engine and recommendation system to enhance customer experiences and boost sales and marketing.
- Leverage Advanced analytics, AI/ML, and data mining techniques across various use cases to address business challenges.
- Design and conduct experiments, evaluate and maintain model to improve performance.
- Engage with key stakeholders, including IT, business, campaign and data teams to align on business requirements and integrate data solutions into our platforms.
- Participate in the vendor selection processes to identify and ensure the best external partners for data science and AI/ML projects.
- Bachelor s Degree or higher in Computer Science, Data Science, Engineering, Statistics, or any related field.
- Minimum of 3-5 years experience in data field and at least 2 years in data science, AI/ML engineer or a related field.
- Proficiency in some of the following: Recommendation engine, Reinforcement Learning, Python, PySpark and SQL and etc.
- Experience in building tools / models to support retention, up-cross selling, optimization, mobile app data and digital marketing is a plus.
- Ability to communicate and collaborate with cross-functional teams.
- Growth mindset and openness to continuously learning and facing new projects and new technologies.
- 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 .
Skills:
Good Communication Skills, Problem Solving
Job type:
Full-time
Salary:
negotiable
- āļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļāļāļĢāļīāļāļāļēāļāļĢāļĩāļāļķāđāļāđāļ āļāđāļēāļāļāļĢāļīāļŦāļēāļĢāļāļļāļĢāļāļīāļ āļāļēāļĢāļāļąāļāļāļĩ āļāļēāļĢāđāļāļīāļ āđāļĻāļĢāļĐāļāļĻāļēāļŠāļāļĢāđ āļāļēāļĢāļāļĨāļēāļ āļŦāļĢāļ·āļāļŠāļēāļāļēāļ§āļīāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļ āđāļĄāđāļāđāļāļĒāļāļ§āđāļē 2 āļāļĩ.
- āļŠāļēāļĄāļēāļĢāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļĢāļ§āļāļŠāļāļāļāđāļāļĄāļđāļĨāļāļēāļāļāļēāļĢāđāļāļīāļāđāļāđ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāđāļēāļāļāļēāļĢāļāļĨāļēāļ āļāļēāļĢāđāļāļĢāļāļēāļāđāļāļĢāļāļ āđāļĨāļ°āļāļēāļĢāļāļģāđāļŠāļāļ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāđāļāļāļļāļāļŠāļēāļŦāļāļĢāļĢāļĄāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļŦāļĢāļ·āļāļāđāļēāļ Supply Chain.
- āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāđāļāđāļ āļēāļĐāļēāļāļąāļāļāļĪāļĐāļāļĒāļđāđāđāļāļĢāļ°āļāļąāļāļāļĩ..
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Skills:
Statistics, Python, SQL
Job type:
Full-time
Salary:
negotiable
- Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
- 7+ years of experience in data science, machine learning, and predictive analytics, preferably in the banking or financial services industry.
- Strong expertise in Python, R, SQL, and big data frameworks (Spark, Hadoop).
- Hands-on experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn).
- Proven track record of developing and deploying ML models in production environments.
- Experience working with cloud platforms (AWS, Azure, GCP) and MLOps tools.
- Strong knowledge of statistical modeling, time-series forecasting, NLP, and deep learning techniques.
- Excellent problem-solving skills and ability to communicate complex data insights to non-technical stakeholders.
- Experience in credit risk modeling, fraud detection, or financial forecasting.
- Knowledge of graph analytics, reinforcement learning, or advanced optimization techniques.
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