VP Quant: Portfolio Risk Modeling & Validation

uobgroup; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

United Overseas Bank (Malaysia) Bhd is seeking a skilled quantitative modeler to design and implement credit risk models, validate them, and work with risk, IT, and business teams in Kuala Lumpur.

The role requires advanced quantitative degrees and 3+ years of financial modeling experience, with Python or SAS proficiency and Basel III/IFRS 9 knowledge. Join a global bank with strong risk-management practices.

Qualifications

• Advanced degree in a quantitative field (Actuarial Science, Finance, Mathematics, Statistics, Economics or CS).
• Typically 3+ years in quantitative modeling within financial services or banking.
• Proficiency in Python or SAS for modeling tasks.
• Knowledge of Basel III and IFRS 9 related to credit risk.
• Experience with regression, time series, ML and stochastic processes.
• Strong analytical and communication skills.

Responsibilities

• Design, develop, and implement quantitative models for credit risk and related areas.
• Perform model validation, back-testing, stress testing, and scenario analysis.
• Document methodologies, assumptions, limitations, and validation results clearly.
• Collaborate with risk, business, and IT teams to integrate models into systems.
• Monitor model performance and recommend adjustments or enhancements.
• Stay updated on industry trends, regulatory changes, and modeling advances.
• Contribute to model governance frameworks and policies.
• Present complex model concepts to technical and non-technical stakeholders.

Skills

Python

SAS

Machine learning

Time series analysis

Regression analysis

Education

Degree's/Master's/PhD in a quantitative field such as Actuarial Science, Finance, Mathematics, Statistics, Economics, or Computer Science

Job description

United Overseas Bank (Malaysia) Bhd is seeking a skilled quantitative modeler to design and implement credit risk models, validate them, and work with risk, IT, and business teams in Kuala Lumpur.

The role requires advanced quantitative degrees and 3+ years of financial modeling experience, with Python or SAS proficiency and Basel III/IFRS 9 knowledge. Join a global bank with strong risk-management practices.