Credit Risk Modeler

UNITED OVERSEAS BANK LIMITED; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

PVH (Tommy Hilfiger/Calvin Klein) seeks an experienced Credit Risk Analyst to lead IFRS9 model development and validation within its Portfolio Management and Models team in Singapore. The role emphasizes building, validating, and maintaining risk scorecards for regional markets.

The ideal candidate will have strong programming skills (SAS, SQL, Python, R) and excellent communication to convey model performance to senior management and regulators.

Qualifications

• 8+ years of IFRS9 model development/validation or similar analytics in banking.
• Ability to communicate technical model metrics to varied audiences.
• Experience coordinating across regional teams and multiple projects.

Responsibilities

• Develop, implement, and monitor IFRS9 risk scorecards and credit models.
• Validate models and present results to stakeholders for sign-off.
• Collaborate with regional risk modelers to drive validation and development.
• Provide analyses and reports to senior management and regulators.

Skills

IFRS9 modeling

Communication

Project management

Education

Bachelor's degree in Banking & Finance / Financial Engineering / Statistics / Computer Science

Tools

SAS

SQL

Python

R

VBA

MS Office

Job description

Job Description

The Wholesale Bank function operates a dynamic business model that provides financial services and solutions to help our clients achieve their strategic business objectives. Our mission is to become the premier-provider of banking services and solutions for Asia-based commercial banking companies (small medium enterprises), large corporations, financial institutions as well as multinational corporations. Our coverage teams work in full alignment with specialised teams across Transaction Banking, Investment Banking, Global Markets and Group Retail to deliver seamless solutions to our clients.

We are seeking a talented individual for an Credit Risk Analyst role within our Portfolio Management and Models team. The candidate should have a strong understanding of statistical concepts, programming skills and a keen analytical mind.

The candidate will be senior analyst responsible for developing, implementing, and monitoring of risk scorecards and FRS9 credit models, as well as overall risk management of Business Banking portfolios in Singapore and regional markets.

Responsible for developing, maintaining, and validation of IFRS9 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 IFRS9 models usage and optimization.

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 business requirement document, support UAT, and deployment of models, as well as datamart enhancement initiatives.

Provide regular and ad-hoc 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.

Job Requirements

• 8 years of experience in IFRS9 model development/validation, or similar analytic roles, preferably in a business banking (i.e. Retail SME) 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