VP, Modeler, Portfolio Management Unit

UOB; Kuala Lumpur; On-site; MYR 240,000 - 420,000; Full time

Job summary

United Overseas Bank (Malaysia) Bhd is seeking a VP Modeler to design, develop, and implement quantitative models for credit risk and related areas, ensuring regulatory compliance and robust validation.

The role emphasizes collaboration across risk, IT, and business units, with responsibilities spanning model governance, performance monitoring, and communication of complex results to diverse stakeholders. Onsite in Kuala Lumpur.

Qualifications

• Degree, Master’s or PhD in a quantitative field (e.g., Actuarial Science, Finance, Math).
• Proven 3+ years of quantitative modeling experience in financial services, preferably banking.
• Proficiency in Python or SAS.
• Strong knowledge of Basel III and IFRS 9; financial products and risk concepts.
• Experience with regression, time-series, ML, and stochastic processes.
• Excellent analytical, communication, and teamwork skills.

Responsibilities

• Design, develop, and implement quantitative models for credit risk and other relevant areas.
• Perform model validation including back-testing and stress testing.
• Document methodologies, assumptions, limitations, and results clearly.
• Collaborate with business units, risk management, and IT to integrate models.
• Monitor model performance and recommend adjustments.
• Stay updated on industry trends and regulatory changes.
• Contribute to model governance frameworks.
• Present model concepts to technical and non-technical stakeholders.

Skills

Python

SAS

Quant modeling

Regressions

Time series

Machine learning

Communication

Education

Master's or PhD in a quantitative field

Tools

Python

SAS

Job description

## VP, Modeler, Portfolio Management UnitApply: Onsite: Kuala Lumpur (City Area): Full time: Posted Today: JR97242Company: 2201 United Overseas Bank (Malaysia) Bhd **About UOB**United Overseas Bank Limited (UOB) is a leading bank in ASEAN with a global network in Southeast Asia, Asia Pacific, Europe and North America. Operating through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia, Thailand and Vietnam, we have a global network of about 430 branches and offices in 19 markets. At the heart of UOB is our culture, shaped by the UOB Way and anchored on our four values – Honourable, Enterprising, United and Committed. For more than 90 years, these values have guided how we do right by our customers, collaborate with one another and create long-term value for the communities we operate in. As One Bank, we are committed to helping our colleagues build sustainable careers grounded in purpose, supported by strong values, and enriched with meaningful opportunities to grow. **Job Description**\\* Design, develop, and implement quantitative models for credit risk and other relevant areas, adhering to regulatory standards and best practices. \\* Perform thorough model validation, including back-testing, stress testing, sensitivity analysis, and scenario analysis, to assess model performance and robustness. \\* Document model methodologies, assumptions, limitations, and validation results clearly and comprehensively. \\* Collaborate with business units, risk management, and IT teams to understand modeling requirements and integrate models into existing systems and processes. \\* Monitor model performance, identify potential issues, and recommend necessary adjustments or enhancements. \\* Stay abreast of industry trends, regulatory changes, and advancements in quantitative modeling techniques. \\* Contribute to the development and enhancement of model governance frameworks and policies. \\* Present complex model concepts and results to both technical and non-technical stakeholders. **Job Qualifications** \\* Degree's, Master's or Ph.D. in a quantitative field such as Actuarial Science, Finance, Mathematics, Statistics, Business Admin, Economics, or Computer Science. \\* Proven experience (typically 3+ years) in quantitative modeling within the financial services industry, preferably in a banking environment. \\* Proficiency in programming languages such as Python, or SAS. \\* Solid understanding of financial products, risk management concepts, and relevant regulatory requirements (e.g., Basel III, IFRS 9). \\* Experience with various modeling techniques, including regression analysis, time series analysis, machine learning algorithms, and stochastic processes. \\* Excellent analytical, problem-solving, and critical thinking skills. \\* Ability to communicate complex technical concepts effectively to diverse audiences, both verbally and in writing. \\* Strong attention to detail and a commitment to accuracy. \\* Ability to work independently and as part of a collaborative team.