OpenNash Jobs
United Overseas Bank · Central Region

Vice President, Credit Risk Analyst_ Group Retail

Central RegionExecutiveFinance & Accounting

Listed on United Overseas Bank’s official careers site. Listed as of October 20, 2026. Check that it is still open and apply there.

Apply on United Overseas Bank’s careers site →

Job description

Company

1011 United Overseas Bank Ltd About UOB United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years.

Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.

Role Overview

Responsible for the development, validation, monitoring, and enhancement of regulatory credit risk models, including Credit Scorecards, Basel PD/LGD/EAD models, and IFRS 9 impairment models. The role supports risk management through quantitative analysis, model performance monitoring, validation, and implementation.

Key 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.

Requirements

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. Proficiency in SAS, SQL, Python, R, or other statistical modelling tools. Good understanding of Basel regulations, IFRS 9 requirements, and model risk management frameworks. Strong analytical, problem-solving, and stakeholder management skills.

Preferred Experience

Hands-on experience in retail or wholesale credit risk modelling. Exposure to regulatory model validation, audit, and regulatory examinations. Experience in developing or enhancing credit scorecards and Basel/IFRS 9 models.

Additional Requirements

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.

Apply now and make a Difference

More jobs at United Overseas Bank

Similar jobs at other companies

Vice President, Credit Risk Management - Risk & Compliance

HSBC Holdings · Singapore, Central Singapore

OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations.