เงื่อนไขการค้นหา

ทักษะ:

Quality Assurance, Architecture, Assurance, Cloud Computing, SAS

ประเภทงาน:

งานประจำ

• Support the shaping of opportunities through structured technical input.
• Contribute to solution design aligned to SAS standards and Managed Cloud capabilities.
• Ensure solutions are feasible and aligned with delivery and operational expectations.
• Build capability across architecture, sales engagement, and delivery alignment.
• You will work closely with Customer Advisory, Professional Services, and Managed Cloud teams globally, contributing to consistent solution outcomes, reducing delivery risk, and supporting reuse of best practices across regions.
• Solution Design & Architecture Contribution.
• Support the design of scalable, secure, and cost-effective SAS Managed Cloud architectures across opportunities.
• Translate business requirements into structured technical solution components aligned with customer and operational needs.
• Contribute to architecture artefacts including high-level designs, sizing inputs, and supporting documentation.
• Participate in architecture discussions and validation activities.
• Sales Cycle Support.
• Provide technical credibility within sales cycles, contributing to solution positioning and proposal development.
• Support the translation of customer requirements into technical solutions and articulating these within proposals.
• Contribute to customer engagements including presentations, workshops, and technical discussions.
• Assist in RFP/RFI responses and other proposal-related activities.
• Sales-to-Delivery Alignment & Risk Awareness.
• Ensure proposed solutions are aligned with delivery capabilities and Managed Cloud operational constraints.
• Collaborate with delivery teams to validate assumptions and identify dependencies.
• Support smooth transition from pre-sales into implementation and managed operations.
• Identify technical risks and escalate where appropriate, contributing to mitigation approaches.
• Architecture Governance & Standards Application.
• Apply structured architecture design approaches, including requirements capture and design validation.
• Follow established architecture standards, patterns, and governance frameworks.
• Participate in design reviews and quality assurance processes.
• Contribute feedback to improve consistency and repeatability of solution approaches.
• Reusable Assets & Enablement Contribution.
• Solution components.
• Architecture artefacts.
• Pre-sales supporting materials.
• Support adoption of standard approaches and best practices across opportunities.
• Participate in knowledge sharing and enablement activities.
• Stakeholder Collaboration, Development & Management.
• Work closely with Account Executives, Customer Advisory, and delivery teams to support opportunity execution.
• Build effective working relationships across global teams.
• Participate in customer discussions with guidance from senior architects as needed.
• Develop technical and architectural capability across SAS technologies and SAS Managed Cloud Services.
• Guide and advise stakeholders on appropriate design approaches, methodologies and technologies to support the required business outcomes.
• Bachelor's degree in Computer Science, Engineering, or a related discipline (or equivalent experience).
• Experience in technical architecture, pre-sales, or solution engineering roles.
• Solid knowledge of SAS platforms and enterprise architecture within managed cloud environments.
• Proven experience supporting complex, enterprise-scale sales cycles.
• A commercial awareness and ability to align technical solutions to business outcomes.
• Excellent communication, presentation, and stakeholder engagement skills.
• Ability to operate effectively in a global, matrixed environment.
• Preferred qualifications.
• Experience defining or applying architecture governance frameworks and standards.
• Experience creating reusable assets (blueprints, patterns, whitepapers).
• Strong background in customer enablement, workshops, and consulting engagements.
• Strong problem solving, communication, decision-making and interpersonal skills.
• Cloud platform knowledge and certifications (AWS, Azure, GCP).
• Why this role matters.
• Driving profitable growth in SAS Managed Cloud Services.
• Improving consistency and scalability of solutions globally.
• Reducing delivery risk through stronger architecture discipline.
• Enabling teams through high-quality, reusable technical content.
• How we design solutions.
• How we enable our teams.
• How we deliver value to customers at scale.
• Thailand, Philippines, Malaysia.
• Remote or Hybrid working model with moderate travel based on business needs.
• SAS only sends emails from verified "sas.com" email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact [email protected].
• Let's stay in touch!.

ทักษะ:

Architecture, Cloud Computing, SAS

ประเภทงาน:

งานประจำ

• Nice to meet you!.
• We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers.
• As part of our continued growth and investment in SAS Managed Cloud Services (MCS), we are expanding our Global Enablement and Sales Support capability across EMEA and the Globe.
• About the role.
• The Technical Pre-Sales Architect plays an important role supporting the intersection of Sales, Architecture, and Delivery, contributing to the growth of SAS Managed Cloud through high-quality solution design, technical validation, and collaboration across teams.
• This is a development-focused architecture role, working as part of a global enablement capability.
• Support the shaping of opportunities through structured technical input.
• Contribute to solution design aligned to SAS standards and Managed Cloud capabilities.
• Ensure solutions are feasible and aligned with delivery and operational expectations.
• Build capability across architecture, sales engagement, and delivery alignment.
• You will work closely with Customer Advisory, Professional Services, and Managed Cloud teams globally, contributing to consistent solution outcomes, reducing delivery risk, and supporting reuse of best practices across regions.
• Solution Design & Architecture Contribution.
• Support the design of scalable, secure, and cost-effective SAS Managed Cloud architectures across opportunities.
• Translate business requirements into structured technical solution components aligned with customer and operational needs.
• Contribute to architecture artefacts including high-level designs, sizing inputs, and supporting documentation.
• Participate in architecture discussions and validation activities.
• Sales Cycle Support.
• Provide technical credibility within sales cycles, contributing to solution positioning and proposal development.
• Support the translation of customer requirements into technical solutions and articulating these within proposals.
• Contribute to customer engagements including presentations, workshops, and technical discussions.
• Assist in RFP/RFI responses and other proposal-related activities.
• Sales-to-Delivery Alignment & Risk Awareness.
• Ensure proposed solutions are aligned with delivery capabilities and Managed Cloud operational constraints.
• Collaborate with delivery teams to validate assumptions and identify dependencies.
• Support smooth transition from pre-sales into implementation and managed operations.
• Identify technical risks and escalate where appropriate, contributing to mitigation approaches.
• Architecture Governance & Standards Application.
• Apply structured architecture design approaches, including requirements capture and design validation.
• Follow established architecture standards, patterns, and governance frameworks.
• Participate in design reviews and quality assurance processes.
• Contribute feedback to improve consistency and repeatability of solution approaches.
• Reusable Assets & Enablement Contribution.
• Solution components.
• Architecture artefacts.
• Pre-sales supporting materials.
• Support adoption of standard approaches and best practices across opportunities.
• Participate in knowledge sharing and enablement activities.
• Stakeholder Collaboration, Development & Management.
• Work closely with Account Executives, Customer Advisory, and delivery teams to support opportunity execution.
• Build effective working relationships across global teams.
• Participate in customer discussions with guidance from senior architects as needed.
• Develop technical and architectural capability across SAS technologies and SAS Managed Cloud Services.
• Guide and advise stakeholders on appropriate design approaches, methodologies and technologies to support the required business outcomes.
• Bachelor's degree in Computer Science, Engineering, or a related discipline (or equivalent experience).
• Experience in technical architecture, pre-sales, or solution engineering roles.
• Solid knowledge of SAS platforms and enterprise architecture within managed cloud environments.
• Proven experience supporting complex, enterprise-scale sales cycles.
• A commercial awareness and ability to align technical solutions to business outcomes.
• Excellent communication, presentation, and stakeholder engagement skills.
• Ability to operate effectively in a global, matrixed environment.
• Preferred qualifications.
• Experience defining or applying architecture governance frameworks and standards.
• Experience creating reusable assets (blueprints, patterns, whitepapers).
• Strong background in customer enablement, workshops, and consulting engagements.
• Strong problem solving, communication, decision-making and interpersonal skills.
• Cloud platform knowledge and certifications (AWS, Azure, GCP).
• Why this role matters.
• Driving profitable growth in SAS Managed Cloud Services.
• Improving consistency and scalability of solutions globally.
• Reducing delivery risk through stronger architecture discipline.
• Enabling teams through high-quality, reusable technical content.
• How we design solutions.
• How we enable our teams.
• SAS only sends emails from verified "sas.com" email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Risk Management, SAS, Python, SQL

ประเภทงาน:

งานประจำ

• Probability of Default (PD).
• Loss Given Default (LGD).
• Exposure at Default (EAD).
• Credit Scoring Models.
• Behavioral Scorecards.
• IFRS 9 ECL Models.
• Stress Testing Models.
• Apply statistical and machine learning techniques to improve model performance and predictive power.
• Develop model documentation and methodology papers.
• Model Governance & Validation Support.
• Establish and maintain model governance frameworks and controls.
• Coordinate independent model validation and remediation activities.
• Ensure compliance with internal policies and regulatory requirements.
• Address validation findings and implement improvement actions.
• Model Performance Monitoring.
• Monitor model stability, discriminatory power, calibration, and predictive accuracy.
• Conduct periodic performance reviews and back-testing.
• Recommend recalibration, redevelopment, or retirement of models when necessary.
• Track model risk indicators and prepare governance reports.
• Risk Analytics & Business Support.
• Support business and risk stakeholders in model usage and interpretation.
• Provide quantitative analysis to support strategic initiatives, risk policies, and portfolio reviews.
• Assess model impacts on lending decisions, capital requirements, provisioning, and portfolio performance.
• Regulatory Compliance.
• Ensure model development and governance practices align with regulatory standards and industry best practices.
• Support regulatory inspections, audits, and governance committee reviews.
• Maintain effective documentation and audit trails for model lifecycle management.
• Bachelor's degree or higher in Statistics, Mathematics, Economics, Finance, Engineering, Data Science, Computer Science, or related quantitative disciplines.
• Master's degree preferred.
• Minimum 5-8 years of experience in credit risk modeling, quantitative analytics, model validation, or risk management within banking or financial institutions.
• Proven experience developing or managing PD, LGD, EAD, IFRS 9, scorecards, or stress testing models.
• Understanding of model risk management principles and governance frameworks.
• Strong statistical modeling and analytical skills.
• Proficiency in SAS, Python, R, SQL, or equivalent analytical tools.
• Knowledge of machine learning techniques and predictive modeling.
• Experience with model development lifecycle and validation processes.
• Understanding of Basel regulations and IFRS 9 requirements.
• หมายเหตุ: ธนาคารมีความจำเป็นจะต้องดำเนินตรวจสอบและเก็บข้อมูลประวัติอาชญากรรมของผู้สมัครในตำแหน่งงานนี้เพื่อตรวจสอบคุณสมบัติหรือลักษณะต้องห้ามตามนโยบายของธนาคาร.
• The Bank requires the checking and collection of criminal records for candidates of this position in order to verify qualifications and/or disqualifications for the job position in accordance with the Bank's policy.
• Additional.
• Be a Part of the UOB Family.
• UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

ทักษะ:

SQL, Power BI, SAS, Python, Thai

ประเภทงาน:

งานประจำ

• Develop and maintain portfolio trackers and MIS reports to monitor retail credit performance (e.g., loan growth, asset quality, delinquency trends).
• Highlight abnormal trends, inconsistencies, or potential policy breaches / non-compliance risks.
• Analyze portfolio data to identify risk trends, concentration, and key drivers.
• Provide actionable insights to support policy review and business decisions.
• Conduct basic trend analysis and forward-looking assessments to detect potential risk build up.
• Identify early warning signals such as deterioration in loan quality or high-risk segments.
• Monitor post approval portfolios to detect high risk developers, projects, or locations.
• Develop and enhance dashboards (e.g., Power BI / Excel) for portfolio monitoring.
• Present data in a clear and simple format for management and stakeholders.
• Ensure data accuracy, consistency, and proper documentation aligned with governance standards.
• Support reporting requirements for management, committees, auditors, and regulators.
• Experience in credit policy & Governance, portfolio management, or risk analytics in banking.
• Strong analytical and problem-solving skills.
• Good understanding of credit risk metrics (e.g., delinquency, NPL, vintage analysis, roll rate) and portfolio monitoring.
• Ability to use tools such as Excel, SQL, Power BI, SAS, or Python.
• Able to explain complex data in a simple, understandable way.
• หมายเหตุ: ธนาคารมีความจำเป็นจะต้องดำเนินตรวจสอบและเก็บข้อมูลประวัติอาชญากรรมของผู้สมัครในตำแหน่งงานนี้เพื่อตรวจสอบคุณสมบัติหรือลักษณะต้องห้ามตามนโยบายของธนาคาร.
• The Bank requires the checking and collection of criminal records for candidates of this position in order to verify qualifications and/or disqualifications for the job position in accordance with the Bank's policy.
• AdditionalRequirements.
• Develop, Engage, Execute, Strategise.
• Be a Part of the UOB Family.
• UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Business Development, Architecture, Cloud Computing, SAS, English

ประเภทงาน:

งานประจำ

• Identify and develop consulting and professional services opportunities with customers.
• Partner with Sales teams to build pipeline and identify opportunities to attach services to software sales.
• Conduct discovery with customers to understand business and technical requirements.
• Shape services and solution proposals that address customer needs and deliver measurable value.
• Support opportunity qualification, proposal development, pricing estimates, and commercial discussions.
• Build strong relationships with customers, partners, and internal stakeholders.
• Identify opportunities to expand existing customer engagements and develop new business.
• Opportunity & Pipeline Management.
• Manage services opportunities from early-stage identification through the start of delivery.
• Maintain visibility of the opportunity pipeline and support accurate forecasting.
• Coordinate with Sales, Presales, Consulting, Architecture, and other technical teams to develop the appropriate customer solution.
• Support deal reviews and ensure proposals are developed and delivered within agreed timelines.
• Work across multiple markets and stakeholders to progress opportunities effectively.
• Customer & Partner Engagement.
• Build trusted relationships with customer stakeholders and understand their business priorities.
• Translate customer challenges into relevant technology, consulting, and professional services opportunities.
• Collaborate with partners where appropriate to strengthen customer solutions and market coverage.
• Communicate clearly with both technical and business stakeholders.
• Technical & Commercial Skills.
• Good understanding of enterprise software and technology solutions.
• Ability to understand customer business and technical requirements and translate them into value propositions.
• Familiarity with consulting or professional services delivery and implementation lifecycles.
• Strong commercial mindset with an interest in developing and growing customer opportunities.
• Ability to work effectively across Sales, Presales, Consulting, and technical teams.
• Exposure to data, analytics, cloud, AI, risk, fraud, or other enterprise technology solutions would be advantageous.
• Strong communication, presentation, and stakeholder management skills.
• What we're looking for.
• Bachelor's degree or equivalent relevant experience.
• Typically 3-8 years of relevant experience.
• Experience in Business Development, Presales, Customer Advisory, Solution Sales, Services Sales, or another client-facing technology role.
• Experience selling, shaping, or supporting technology services and solutions.
• Experience working for a software, cloud, data, AI, or enterprise technology company is preferred.
• Experience with consulting or professional services engagements is advantageous.
• Experience in Financial Services is advantageous but not required.
• Fluent in English.
• You are welcome here.
• At SAS, it's not about fitting into our culture - it's about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers.
• SAS only sends emails from verified "sas.com" email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact [email protected].
• Let's stay in touch!.

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

Leadership Skill, Cloud Computing, SAS, English

ประเภทงาน:

งานประจำ

• Engage with targeted customers and prospect accounts to position and sell SAS Marketing solutions.
• Develop strategies to modernize customer engagement for strategic clients.
• Build and maintain relationships, influencing long-term strategies and engaging with C-level decision-makers.
• Provide expertise in industry, business, and marketing technology to close deals in your assigned territory.
• Support lead-generation activities and integrate strategies into account plans, qualifying based on business and technical fit.
• Develop opportunities and create compelling proposals to communicate the value of SAS solutions, collaborating with internal teams.
• Drive the closure of complex sales and assist with pricing and licensing negotiations.
• Required.
• 8+ years of experience in solution selling within enterprise software or marketing technology space.
• Strong consultative selling skills: understand customer goals, identify value drivers, and present to executives confidently.
• Experience of building executive and director-level relationships by addressing business-critical problems and outcomes.
• Ability to proactively search for marketing opportunities and ensure customer satisfaction.
• Attention to detail while focusing on long-term vision and anticipating potential roadblocks.
• Passionate and collaborative team player with self drive and a strong work ethic.
• Good knowledge of sales techniques, software acquisition cycles, and territory dynamics.
• Strong communication skills in English (spoken and written), ability to work independently and in teams, and has ability to travel internationally 30-50%.
• Bachelor's degree preferably in Business, Marketing, Computer Science, or quantitative field.
• Equivalent combination of education, training and experience may be considered in place of the above qualifications.
• You're curious, passionate, authentic and accountable. These are our values and influence everything we do.
• Diverse and Inclusive.
• At SAS, it's not about fitting into our culture - it's about adding to it. We believe our people make the difference. Our diverse workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Our commitment to diversity is a priority to our leadership, all the way up to the top; and it's essential to who we are. To put it plainly: you are welcome here.
• SAS only sends emails from verified "sas.com" email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact [email protected].
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ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

SAS

ประเภทงาน:

งานประจำ

• In-Store Styling Support (approx. 60%).
• Co-style alongside Sales Associates during live customer interactions - demonstrating best practices without replacing the SA's role.
• Handle styling consultations for customers with complex needs: body proportion concerns, occasion dressing, wardrobe building, and lifestyle-based outfit curation.
• Provide real-time, constructive feedback to SAs after each interaction, highlighting strengths and coaching on gaps.
• Observe and document recurring styling gaps across branches and report patterns to management - not just individual cases.
• Training & Coaching (approx. 40%).
• Body proportion and silhouette dressing.
• Color coordination and tone matching.
• Outfit building from current season's product range.
• Occasion-appropriate styling.
• Create practical styling reference materials for branch use: look books per collection, quick-reference styling cards, and pairing guides.
• Track individual SA styling skill development over time and adjust coaching plans accordingly.
• Collaborate with Visual Merchandising to align floor display direction with styling guidance.
• Product Buying team Collaboration & Seasonal Planning.
• Attend seasonal product briefings with Buying team to understand key products, hero items, and collection direction.
• Translate product briefs into seasonal styling training plans - e.g., if key product is Flare Jeans, develop a full styling guide covering compatible tops, footwear, body types, and occasions.
• Produce seasonal styling guides per key product for branch distribution before product arrives in store.
• Feedback commercial insights to the Buying team: identify products that customers hesitate on due to styling uncertainty, providing actionable data on assortment gaps or unclear wearability.
• Education.
• Bachelor's degree or diploma in Fashion, Fashion Merchandising, Styling, or a related field preferred.
• Equivalent professional experience will be considered.
• Experience.
• Minimum 2-3 years of experience in fashion retail, personal styling, or a brand-facing fashion role.
• Demonstrated experience in coaching, mentoring, or training others - formal or informal.
• Prior exposure to seasonal buying or product briefing processes is an advantage.
• Skills & Competencies.
• Strong practical knowledge of styling principles: body proportions, color theory, occasion dressing, layering, and outfit building.
• Ability to read a product brief and develop training content from it independently.
• Natural coaching mindset - genuinely motivated by helping others succeed, not by personal recognition on the floor.
• Sharp observational skills - quickly identifies skill gaps in others and styling opportunities with customers.
• Approachable communication style that puts both customers and junior staff at ease.
• Adaptable communicator - able to shift tone and language between customers, store staff, and management.
• Comfortable working cross-functionally with buying, VM, and operations teams.
• Personal Attributes.
• Self-motivated and organized - manages multiple branches and deliverables simultaneously.
• Passion for fashion and genuine interest in helping others develop their styling confidence.
• Collaborative team player with a low ego - this role is about building others up, not standing out alone.
• What Success Looks Like.
• Sales Associates across branches can style customers with confidence and without needing assistance.
• Seasonal key products are introduced with a clear styling plan before they hit the floor.
• Customer styling satisfaction improves, reflected in conversion rates and basket size.
• Feedback loops to the Buying team provide commercially useful insights each season.

ทักษะ:

Compliance, SAS, SQL

ประเภทงาน:

งานประจำ

• Lead and manage the MIS team responsible for Collections reporting, performance monitoring, and incentive/commission calculation and payment processes.
• Oversee the preparation and accuracy of daily, weekly, and monthly business reports for the Collections Department.
• Manage and validate incentive/commission calculations to ensure accuracy, completeness, and compliance with approved incentive schemes and business rules.
• Work closely with Collections, Finance, HR, IT, and other relevant functions to ensure timely and accurate incentive/commission payments.
• Analyze and improve existing reports, processes, and data workflows to enhance efficiency, accuracy, and turnaround time.
• Develop and automate data processes for routine and ad-hoc reporting using tools such as SAS, SQL, Power BI, Tableau, Access, and Excel.
• Gather business requirements, translate them into reporting and analytical solutions, and coordinate with cross-functional teams to deliver new business requirements.
• Develop performance tracking reports and dashboards to monitor collector productivity, efficiency, and key performance indicators.
• Design and develop data visualizations and dashboards that enable management to understand business performance and make informed decisions.
• Provide data analysis and recommendations to support incentive scheme design, performance management, and business planning.
• Establish appropriate data validation and quality control processes to minimize reporting and incentive calculation errors.
• Present complex data and analytical findings clearly to management and business stakeholders.
• Coach and develop MIS team members, assign workload, monitor performance, and ensure timely delivery of team objectives.
• Bachelor's or Master's degree in Business Administration, Statistics, Economics, Information Technology, Computer Science, Data Analytics, or a related field.
• Minimum 10 years of experience in MIS, Business Intelligence, Data Analytics, Reporting, or a related field, with experience in a team lead or supervisory capacity preferred.
• Experience in MIS/reporting within Collections, Banking, Financial Services, or a similar high-volume operational environment is highly preferred.
• Strong experience in SQL and SAS for data extraction, manipulation, and analysis.
• Experience in developing dashboards, automated reports, and data visualization solutions.
• Strong understanding of data validation, data quality, and reporting controls.
• Experience with incentive, commission, productivity, or performance-based calculation is an advantage.
• Strong analytical, problem-solving, and numerical skills with high attention to detail.
• Strong communication and stakeholder management skills, with the ability to translate business requirements into practical data solutions.
• Demonstrated leadership skills with the ability to manage, coach, and develop an MIS team.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Software Development, Enthusiastic, Architecture, Electronics, English

ประเภทงาน:

งานประจำ

• Design, develop, test, integrate and maintain quality firmware for eHDD using best practices like unit test and TDD (Test Driven Development).
• Design and implementation of data structures, software algorithms, data path, and drivers for hardware cores using latest standards C++ and Python.
• Deliver cutting-edge storage products with SAS, SATA, PCIE interfaces.
• Collaborate and design solutions for the challenging yet unique problems across hardware and software platforms, including servers, RAID, and various operating systems (Windows and Linux).
• Participate in the technical investigations from problem statement to conclusion.
• Creates design documents pertinent to the various phases of firmware development.
• Bachelor or Master in Computer Science, Computer/Electronics Engineering or equivalent required.
• Fresh graduates are encouraged to apply.
• 0-2 years of experience in relevant field or embedded firmware experience. Welcome new graduate.
• Experience or understanding of software development cycle would be an added advantage.
• Familiarity with micro-controller architecture (ARM or ARC), embedded systems and RTOS desired.
• Knowledge in SAS, SATA and PCIE interface is a plus.
• Experience in the use of bus analyzers, emulators and other firmware debugging tools is a plus. Comfortable and enjoy working in a dynamic and ever-evolving environment.
• Be fun and enthusiastic teammate who enjoys challenges and celebrates successes.
• Possess data analytics skillset.
• Knowledge of C/C++, object-oriented programming, Python, data structures, and algorithms.
• Capable of quickly learning new firmware, hardware, systems, tools, and methodologies.
• Ability to effectively manage projects and tasks to deliver deadlines and commitments.
• High degree of problem-solving skills, solutions-oriented with a positive, can-do attitude.
• Excellent interpersonal skills, including written and verbal communication.
• Be able to work as one team with worldwide team.
• Skills.
• Knowledge of C/C++, object-oriented programming, Python, data structures, and algorithms.
• Capable of quickly learning new firmware, hardware, systems, tools, and methodologies.
• High degree of problem-solving skills, solutions-oriented with a positive, can-do attitude.
• Be able to work as one team with worldwide team.
• Good command of English communication.
• LI-BI1.
• WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
• WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
• Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email [email protected].

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Project Management, Microsoft Office, Power point, E-learning, Leadership Skill

ประเภทงาน:

งานประจำ

• Assess training and development needs through surveys, performance evaluations, and discussions with department heads to identify skill gaps and learning priorities.
• Design, develop, and implement learning programs, including workshops, e-learning modules, and leadership development initiatives to enhance employee competencies.
• Coordinate the logistics of training sessions, including scheduling, venue arrangements, materials preparation, and communication with participants.
• Monitor and evaluate training effectiveness by collecting feedback, analyzing learning outcomes, and making recommendations for improvement.
• Manage learning management systems (LMS) and ensure accurate tracking of training records, course enrollments, and completion rates.
• Collaborate with external training providers, consultants, and universities to source and implement specialized training programs.
• Work with Impact team to ensure the training alignment with the institution's priorities.
• Manage onboarding and orientation programs for new employees.
• Support performance management and career development initiatives, mentorship programs, and succession planning efforts by providing guidance on career progression opportunities.
• Maintain up-to-date knowledge of trends in learning and development, industry best practices, and regulatory requirements to ensure compliance and relevance in training programs.
• Work closely with HR leadership to develop and implement policies related to training, professional development, and employee engagement.
• Assist in organizing corporate events, knowledge-sharing sessions, and team-building activities to promote a learning-oriented culture within the organization.
• Perform Learning and Development (L&D) duties and other related assignments as assigned by the supervisor.
• Bachelor's degree in Human Resources, Business Administration, Education, Psychology, or a related field.
• 4-5 years of experience in learning and development, training coordination, or organizational development.
• Strong knowledge of training methodologies, instructional design principles, and adult learning theories.
• Experience in using learning management systems (LMS) and e-learning tools for course administration and tracking.
• Strong project management skills, capable of handling multiple training programs and meeting deadlines. Proficiency in Microsoft Office Suite (PowerPoint, Word, Excel) and other learning-related software.
• Ability to analyze training needs and measure learning effectiveness through assessments and feedback mechanisms.
• Experience in coordinating external training vendors, trainers, and consultants is an advantage.
• A proactive and innovative mindset, with a passion for continuous learning and employee development.
• Fluency in both Thai and English, with strong written and verbal communication skills.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Data Warehousing, Kubernetes, Python, Linux, Cloud Computing

ประเภทงาน:

งานประจำ

• Participate in the implementation and deployment of SAS software and solutions.
• Configure, test and support data integration, ETL and data engineering processes.
• Develop and optimise SQL queries, data mappings and transformation logic.
• Support system installation, configuration and environment validation activities.
• Assist with data migration, integration and deployment activities across customer environments.
• Create clear technical documentation, test plans and implementation deliverables.
• Troubleshoot technical issues and support defect resolution throughout the project lifecycle.
• Collaborate with consultants, architects, project managers and customer stakeholders to deliver successful outcomes.
• Support knowledge transfer and transition-to-support activities following project implementation.
• Continue developing expertise in SAS technologies, cloud architectures and industry solutions.
• Bachelor's degree or equivalent practical experience in Computer Science, Information Systems, Engineering, Mathematics, Statistics or a related discipline.
• 0-2 years working experience in similar/relevant role.
• Experience working with data integration, ETL processes, software implementation or technical consulting projects.
• Experience writing SQL queries and working with relational databases.
• Understanding of data management, data warehousing or data engineering principles.
• Knowledge of Linux or Unix operating systems.
• Strong analytical and problem-solving skills.
• Ability to communicate technical concepts effectively with technical and non-technical audiences.
• Ability to work collaboratively in a project-based consulting environment.
• Additional competencies, knowledge and skills.
• Experience with data engineering or enterprise data platforms.
• Exposure to cloud technologies, containers or Kubernetes.
• Experience with APIs and system integration.
• Knowledge of Python, Java or other programming languages.
• Experience supporting enterprise software implementations.
• Financial services or regulated-industry experience.
• You are welcome here.
• At SAS, it's not about fitting into our culture - it's about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers.
• SAS only sends emails from verified "sas.com" email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact [email protected].
• Let's stay in touch!.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Business Development, Negotiation

ประเภทงาน:

งานประจำ

• Build and manage a pipeline of new sellers through online, offline, referral, and outbound channels.
• Identify and qualify sellers based on product fit, supply quality, selling readiness, and commercial potential.
• Present the platform value proposition, negotiate terms, and convert qualified leads into onboarded sellers.
• Own the acquisition funnel from Lead.
• Contacted.
• Qualified.
• Onboarded.
• Activated, with consistent follow-up to drive conversion.
• Ensure sellers complete onboarding and reach defined activation milestones before transitioning to Key Account Management.
• Work with Strategy and cross-functional teams to grow target categories, priority supply, campaigns, and seller segments.
• Track pipeline, conversion, blockers, and weekly performance; identify next actions and recovery plans when targets are missed.
• Acquire and activate TCG Live Sellers, with a focus on growing new and high-potential sellers into recurring Live Commerce performers.
• Bachelor's degree in Business Administration, Marketing, or a related field, or equivalent experience.
• 1-3 years of experience in Sales, Business Development, Marketplace, Seller Acquisition, Account Acquisition, or related fields.
• Strong sales, negotiation, and follow-up skills, with the ability to move leads through to activation.
• Strong ownership and proactive working style, with the ability to identify next actions and resolve blockers independently.
• Comfortable managing sales pipelines, tracking performance, and using data to improve conversion.
• Strong communication and cross-functional coordination skills.
• Experience in Marketplace, E-commerce, Live Commerce, Social Commerce, or TCG is a plus.

ทักษะ:

Project Management, Google Analytics, Web Services, Automation, Salesforce

ประเภทงาน:

งานประจำ

• Perform day-to-day leadership on Marketing Technology Solutions presale, understand operations, development, system and campaign management on multi-platforms and database.
• Identifies solution improvements to clients and provides communication with client/team and manages the implementation plan and oversee the execution.
• Ensure a clear understanding of requirements so that the solutions delivered to the business are efficient, effective, and meeting the customer experience expectations.
• Understand business processes and provide guidance relative to emerging trends and strategy; understand customer's business, pain points, needs and strategic plans.
• Evaluate & drive proposed technical solutions by weighing the risks, rewards and future implications of each decision and recommending the optimal technical path forward.
• Guide and motivate our client to continually improve their Marketing technology with our team as strategic partner.
• Work closely with Senior Client Services Manager to prepare presale proposal for clients and collaborate with multiple teams.
• Generate ideas and present to client and team for how our solutions can make our clients more successful.
• 4- 7+ years previous project management experience with Salesforce or Adobe or Oracle platform or Marketing Technology consulting industry.
• Demonstrative success with multiple experience of business analyst and presale support for MarTech perspective.
• Significant MarTech platform experience e.g. E-Commerce, CRM, E-mail Automation, Web Analytics, Customer Data Platform, CMS, Line etc.
• Demonstrative success with multiple experience in MarTech assessment, MarTech implementation for marketing technology like Salesforce, Adobe, Oracle, Tealium, SAP, Sas, Sitecore, Google Analytics, Bluekai, Marketo etc.
• Good hands on technical background in HTML, XML, JavaScript, SQL, REST API and SOAP-based web services.
• Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams.

ทักษะ:

Project Management, Data Analysis, Multitasking, Recruitment, English

ประเภทงาน:

งานประจำ

• Strategic Meeting Support - Assist Strategic Advisors (SAs) in coordinating and attending quarterly strategy meetings (1 hr) and monthly catch-up sessions (30 mins) with students and parents.
• Academic & Admissions Tracking - Help monitor each student's academic standing, test prep schedule, and extracurricular progress to ensure alignment with their admissions goals.
• Opportunity Research - Identify and recommend relevant competitions, extracurricular ...
• Project Management - Coach students end-to-end to meet their social impact project milestones alongside expert coaches and NGO partners.
• Homework Monitoring & Guidance - Track student homework progress and provide support, tools, or resources to help them complete assignments effectively.
• Timely Communications - Manage reminders for important deadlines, events, and document submissions to keep students on track.
• Documentation & Admin Support - Maintain accurate student records and provide administrative support for appointments, student engagement, and overall program logistics.
• Ongoing Student Engagement - Act as a key point of contact via Line groups, responding to student queries and supporting SAs between meetings.
• Smooth Program Transition - Coordinate with SAs to ensure students transition smoothly into the university application counseling phase.
• What You'll Bring.
• Bachelor's degree in any field (recent graduates are encouraged to apply).
• Fluent in English with strong written and verbal communication skills.
• Familiarity with university admissions processes and success factors in the US, UK, Canada, and other major study destinations.
• Strong time management, organization, and multitasking skills.
• Excellent interpersonal skills and a student-focused mindset.
• Eagerness to learn, adapt, and stay current with trends in international education and admissions.
• Note: The Company may use AI-assisted tools to support data analysis at certain stages of the recruitment process. The Human Resources team oversees the entire process and retains final decision-making authority to ensure an accurate and comprehensive assessment.
• Applicant data will not be used to train AI models and will only be accessible to authorized HR personnel and the relevant hiring managers or supervisors.
• By submitting your application for this position through the recruitment system, you acknowledge that you have read and understood this notice.

ทักษะ:

Microsoft SQL Server, Digital Marketing, Data Analysis, Recruitment, Leadership Skill

ประเภทงาน:

งานประจำ

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science).
• Ability to communicate fluently in English.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Experience in digital marketing.
• Academic research experience.
• STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner.
• Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Project Management, Leadership Skill, ERP, English, Thai

ประเภทงาน:

งานประจำ

• Ensure alignment of project scope, objectives with client expectations.
• Able to identify resources or tasks needed for the project.
• Serve as main point of contact for clients throughout the engagement cycle (onboarding).
• Provide project updates via meetings or emails.
• Able to manage client expectations and ensure any changes are clearly communicated and documented.
• Facilitate collaboration between internal teams and send progress reports for clients and senior leaders.
• Support client onboarding and software handover by organizing and gathering client needs and facilitating software walkthrough/client training.
• Review, process, and respond to client queries within the turn-around-time as defined by the team goals.
• Track and monitor developments and trends on ESG reporting requirements in the markets/jurisdictions covered by the team.
• Participate in, and contribute to further development of processes and improvements in the ESG product offering by collaborating with colleagues within the team as well as from other departments such as IT, Marketing, etc.
• Support overall team goals by taking ownership of production targets, delivering required output of high quality, and ensuring that deadlines are met.
• Provide internal support by contributing to periodic training sessions to develop the team's knowledge base.
• Education.
• Candidate must possess at least Bachelor's degree e.g. Business, International Development/ Relations, Social Science, Interdisciplinary Studies etc. (a degree in Sustainability or any relevant field such as Environmental Science or International Human Rights is good to have, but not required).
• Experience.
• Has at least 2- 3 years of professional experience in project management for SaaS product.
• Has superior Client-Facing Skills.
• Proven ability to define a clear Statement of Work (SOW), and manage client expectations regarding changes, costs, and timelines.
• Risk & Issue Management: Proactive identification, documentation, and mitigation of project risks (e.g., resource conflicts, technical dependencies, client delays) and effective management of issues and escalations.
• SaaS/Software Implementation Experience: At least 3-5 years of direct experience managing B2B software, ERP, CRM, or specialized SaaS platform implementations from kick-off to Go-Live is a plus.
• Exceptional Communication: Mastery of written and verbal communication, including the ability to communicate project status, complex technical issues, and risks clearly to both technical teams and executive-level clients (Stakeholder Management).
• Leadership & Conflict Resolution: The ability to motivate and lead a diverse, cross-functional team (developers, consultants, client leads) and to act as a neutral party to resolve conflicts - both internal and external.
• Adaptability & Problem-Solving: Projects rarely go perfectly. The PM must be flexible and an effective problem-solver, quickly devising creative solutions for unexpected technical roadblocks or client-side resource constraints.
• Some Knowledge on ESG reporting requirements such as annual and sustainability reports.
• Experience in issuer/client communication and working with teams across different geographies is preferred.
• Skill/Certifications/Languages.
• Fluent in English and Thai.
• Excellent research, analytical, and time management skills.
• Results-driven and has the ability to work under pressure and can work on daily/weekly deadlines.
• Self-motivated, works well independently or with a team.
• Good to have (but not required): Completed certifications on international frameworks such as GRI, TCFD, SASB, etc.

ทักษะ:

Quantitative Analysis, Business Development, Financial Modeling, Risk Management, Accounting

ประเภทงาน:

งานประจำ

• Develop and implement risk models and methodologies to evaluate and measure financial risk exposure.
• Conduct in-depth quantitative analysis to assess the accuracy and effectiveness of risk models.
• Collaborate with cross-functional teams to validate risk models and ensure compliance with internal and regulatory requirements.
• Monitor and analyze market trends, risk factors, and economic indicators to refine risk models.
• Use advanced statistical techniques to identify, assess, and quantify financial risks.
• Provide insights and recommendations to optimize risk management strategies based on risk model outputs.
• Assist in the development and implementation of risk management frameworks, policies, and procedures.
• Stay updated with the latest industry developments and advancements in risk modeling techniques.
• Skills and attributes for success.
• To qualify for the role you must have.
• Minimum of bachelor's degree in accounting, finance, engineering, or another finance-related role.
• New graduates are welcome with internship experience in a similar role or working environment,preferably in professional services or client-facing role.
• Individual with experience in the Banking or Financial industry with experience in either front process, operation process, accounting process or IT will be highly considered.
• Having knowledge about Financial Modeling and Coding Skills (i.e. Python, SAS, SQL, R Studio, C++).
• Ideally, you'll also have.
• Individual with an experience in Banking or Insurance industry with experience in either front process, operation process, accounting process or IT will be highly considered.
• We currently are seeking a highly motivated individual to work on multiple client engagements, work with a wide variety of clients to deliver professional services, and lead business development activities.
• What we offer.
• We offer a competitive remuneration package. Our comprehensive Total Rewards package includes support for flexible working and career development, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions.
• Continuous learning: You'll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs.
• If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
• The exceptional EY experience. It's yours to build.
• EY | Shape the future with confidence.
• EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
• Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
• Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

ทักษะ:

Microsoft SQL Server, Digital Marketing, Data Analysis, Recruitment, Leadership Skill

ประเภทงาน:

งานประจำ

• Experimentation and optimizing campaign performance: Experiment with pricing strategies on different traffic and segments. Adapt to new product features and roll out changes from successful tests.
• Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap.
• Reporting, analysis and insights: Building dashboards to track performance, derive i ...
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science).
• Ability to communicate fluently in English.
• 2+ years' experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• Experience in digital marketing.
• Academic research experience.
• STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner.
• Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ประสบการณ์:

6 ปีขึ้นไป

ทักษะ:

Good Communication Skills, Analytical Thinking, Financial Modeling, Risk Management, Data Analysis

ประเภทงาน:

งานประจำ

• Advisory.
• Industry/Sector.
• Not Applicable.
• Specialism.
• Corporate and Business Strategy.
• Management Level.
• Senior Associate.
• Our goal is to assist our clients in establishing robust risk management methodologies, reporting and decision-making tools, designed to facilitate increased profits, more efficiently allocated capital and reserves, and the development of a stronger culture of management and control within the organisation as a whole. Our activities typically cover the following areas: 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 designing/implementing a prioritised plan to facilitate any required improvements 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 As Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: 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. Handle 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 Panya, 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: Degrees/Field of Study preferred: Certifications (if blank, certifications not specified).
• Required Skills.
• Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Communication, Creativity, Credit Risk Assessment, Credit Risk Management, Credit Risk Mitigation, Credit Risk Model Development, Credit Risk Modeling, Credit Risk Monitoring, Data Analysis, Embracing Change, Emotional Regulation, Empathy, Financial Audit, Financial Budgeting, Financial Data Mining, Financial Forecasting, Financial Management, Financial Market, Financial Modeling, Financial Planning, Financial Research {+ 13 more} Desired Languages (If blank, desired languages not specified).
• Travel.

ทักษะ:

Automation, Statistics, Excel

ประเภทงาน:

งานประจำ

• Prepare and maintain portfolio data, MIS reports, and dashboards.
• Analyze portfolio performance, credit quality, and risk indicators.
• Provide insights to support business and management decisions.
• Improve reporting processes through automation and digital solutions.
• Support data migration, transformation, and system enhancement initiatives.
• Coordinate with stakeholders across Business, Risk, Operations, and IT.
• QualificationsBachelor's degree in IT, Statistics, Finance, Economics, Business, or related fields.
• Minimum 5 years' experience in MIS, Data Analytics, Credit Risk, Portfolio Management, or related areas.
• Banking or financial services experience preferred.
• Strong Excel and reporting skills; SQL knowledge required.
• Experience with Power BI, Tableau, SAS, Python, or similar tools is a plus.
• Understanding of Commercial Banking, Credit Risk, or Lending.
• Strong analytical, communication, and stakeholder management skills.
• Experience in BI, automation, AI, data transformation, or system implementation projects is an advantage.
• Only shortlisted candidates will be contacted.
• (https://krungsri.com/b/privacynoticeen).
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..
• FB: Krungsri Career.
• LINE: Krungsri Career.
• Linkedin: Krungsri Career.
• Talent Acquisition Department.
• Bank of Ayudhya Public Company Limited.
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.