Credit Risk Modeler

UNITED OVERSEAS BANK LIMITED; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

UNITED OVERSEAS BANK LIMITED in Singapore seeks an experienced analyst to develop, implement and monitor Basel credit risk models, scorecards and related analytics for SME portfolios in Singapore and regional markets.

The role requires 8+ years in credit risk model development/validation, plus strong communication and proficiency in SAS, SQL, Python, R, VBA and Excel. Collaboration with regional teams is essential to drive governance and regulatory compliance.

Qualifications

• 8+ years of credit risk model development/validation experience in banking.
• Ability to explain model performance metrics to varied audiences clearly.
• Experience handling multiple projects with minimal supervision.
• Strong collaboration across group and regional teams; excellent communication skills.

Responsibilities

• Develop Basel credit risk models and scorecards for regional markets.
• Drive model validation and development in partnership with regional risk modelers.
• Explain validation results to stakeholders and obtain signoffs.
• Support credit risk analytics for Basel models and scorecards usage and optimization.
• Keep up to date with Basel II/IV and other regulatory standards (FRS9).
• Provide regular and ad-hoc risk analyses and reports to senior management and regulators.
• Present models to senior management and regulators as required.

Skills

SAS - Programming

SQL

Python

R

VBA

MS Office

Excel advanced

Education

Banking & Finance

Financial Engineering

Statistics

Computer Science

Tools

Enterprise Guide

Enterprise Miner

Job description

Group Portfolio Management is part of Group WholesaleBanking (GWB) and is responsible for developing, implementing and monitoringcredit risk models for Non-Retail portfolio. Specifically, the division isresponsible for Basel credit models, scorecards, as well as portfolioanalytics, management and reporting. The division is also responsible forsupporting the associated risk datamart and related systems. Our mission is todrive decision making based on value analytics throughout the customer valuechain.

The Role

The candidate will be analysts responsible for developing,implementing, and monitoring of risk scorecards and Basel credit models, aswell as overall risk management of Small and Medium Enterprises portfolios inSingapore and regional markets.

Responsibilities

• Responsible for developing and maintaining Basel credit risk models and scorecards to support credit risk and performance management across the regional markets.
• Partner with regional credit risk modelers to drive model validation & model development; and provide justification / explain the validation results to various stakeholders.
• Work closely with various stakeholders in Group and regional countries to support credit risk analytics for Basel models and scorecard usage and optimization.
• Drive the use of scorecard and Basel models in customer acquisition, portfolio management, collections, and other areas of the credit cycle, through regular engagement with business managers, credit approvers, collections team and other stakeholders
• Keep up to date on changes to regulatory requirements and minimum standards of model development (Basel II, Basel IV, FRS9), including compliance to regulatory ethics standards (FEAT)
• Provide regular and ad-hoc credit risk analyses and reports to senior management, regulators, and other key stakeholders.
• Present models to senior management and stakeholders, obtain model signoffs, and where relevant, seek regulator's approval for new models

Requirements

• > 8 years of experience in credit risk model development/validation, or similar analytic roles in a banking environment.
• Ability to clearly communicate technical model performance metrics in an easy-to-understand manner and tailoring them to different audiences
• Ability to handle multiple projects with minimal supervision.
• Team player who can work well with cross functional teams in Group and regionally, good communication skills (verbal and written) and self-motivated.
• Strong computing skills: SAS - Programming, Enterprise Guide, Enterprise Miner; SQL and database familiarity; MS Office applications, including advanced spreadsheet functionalities. Competency in R, Python and VBA will be an added advantage
• A good degree in Banking & Finance, Financial Engineering, Statistics, Computer Science, or equivalent