AVP, Credit Risk Modeling & Analytics

Uob Kay; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

United Overseas Bank Ltd is seeking a candidate to support rating models development/enhancement, MIS reporting, and related system implementations. The role involves collaboration with risk management, validation teams and internal auditors to ensure accurate capital computations and model performance.

The ideal candidate has 1–3 years in financial institutions, with knowledge of Basel/MAS637, and enjoys working in a data-driven, collaborative environment.

Qualifications

• 1–3 years of relevant experience in a financial institution is preferred.
• Experience in Basel / MAS 637, credit model development or validation is preferred.
• Strong IT, analytical and quantitative skills are essential.
• Experience in Qliksense and Python will be considered an advantage.
• Familiar with AI technologies and using AI tools (e.g., Microsoft 365 Copilot) to improve productivity.
• Team player with strong communication skills and the ability to work with people at all levels.
• Organized, self-motivated and able to manage multiple tasks with deadlines.

Responsibilities

• Develop and enhance internal rating models and MIS reporting.
• Collaborate with business users, risk management, model validation and internal audit on model issues.
• Prepare and present model results and capital computation to stakeholders.
• Coordinate model-related system development and user acceptance testing.
• Participate in ad-hoc projects including stress testing.

Skills

IT skills

Analytical thinking

Quantitative skills

Team player

Communication

Education

Degree holder

Tools

Qliksense

Python

Microsoft 365 Copilot

Job description

United Overseas Bank Ltd is seeking a candidate to support rating models development/enhancement, MIS reporting, and related system implementations. The role involves collaboration with risk management, validation teams and internal auditors to ensure accurate capital computations and model performance.

The ideal candidate has 1–3 years in financial institutions, with knowledge of Basel/MAS637, and enjoys working in a data-driven, collaborative environment.