VP, Credit Risk Modeling & Validation

UOB; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

1011 United Overseas Bank Ltd in Singapore is seeking a qualified risk modelling professional to develop, validate, monitor and enhance regulatory credit risk models, including scorecards and IFRS 9 impairment models. You will perform KS, AR, PSI analyses, back-testing and portfolio risk analysis, support UAT and governance reviews, with 3–8 years of experience in credit risk modelling in banking.

The role requires a degree in a quantitative field and proficiency in SAS/SQL/Python/R, with strong

Qualifications

• Degree in Statistics, Mathematics, Actuarial Science, Quantitative Finance, Economics, Engineering, Computer Science, or a related quantitative discipline.
• 3-8 years of experience in Credit Risk Modelling, Model Validation, Risk Analytics, Basel, or IFRS 9 modelling within banking or financial services.
• Strong knowledge of credit risk concepts including PD, LGD, EAD, scorecard development, and model validation techniques.
• Experience performing KS, AR, PSI, back-testing, and model performance monitoring.

Responsibilities

• Develop, validate, and monitor credit risk scorecards and regulatory credit risk models.
• Perform scorecard analytics including KS, Accuracy Ratio (AR), Characteristic Analysis, and Population Stability Index (PSI).
• Validate and monitor IFRS 9 models, including PD, LGD, EAD, and macroeconomic forecasting models.
• Validate, recalibrate, and enhance Basel PD, LGD, and EAD models to ensure regulatory compliance and model effectiveness.
• Conduct model performance monitoring, back-testing, and portfolio analysis to ensure models remain fit for purpose.
• Generate and analyze scorecard performance reports, booking profiles, and portfolio risk trends.
• Support UAT, model deployment activities, and risk data mart enhancement initiatives.
• Prepare model validation reports and support governance, audit, and regulatory reviews.

Skills

SAS

SQL

Python

R

Model validation

Credit risk

Education

Bachelor's degree in Statistics/Mathematics/Actuarial Science/Quantitative Finance

Tools

SAS

SQL

Python

R

Job description

1011 United Overseas Bank Ltd in Singapore is seeking a qualified risk modelling professional to develop, validate, monitor and enhance regulatory credit risk models, including scorecards and IFRS 9 impairment models. You will perform KS, AR, PSI analyses, back-testing and portfolio risk analysis, support UAT and governance reviews, with 3–8 years of experience in credit risk modelling in banking.

The role requires a degree in a quantitative field and proficiency in SAS/SQL/Python/R, with strong