Manager/AVP, Lead Analyst, Wholesale Credit Risk Modelling

OVERSEA-CHINESE BANKING CORPORATION LIMITED; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading financial institution in Singapore is looking for a Lead Analyst / Analyst to join the Wholesale Credit Risk Modelling team. The role involves developing credit risk models, analyzing performance, and ensuring compliance with regulations. Candidates should have a degree in a quantitative field and strong skills in SQL and Python. This position offers an opportunity to contribute to strategic decision-making in a high-impact environment, with potential for career growth in credit risk management.

Qualifications

• Bachelor's degree in Accounting, Finance, Economics, Mathematics, or equivalent.
• Experience in credit analysis/credit risk management of Wholesale portfolios is a plus.
• Familiarity with Basel III and IFRS regulations is beneficial.

Responsibilities

• Develop, implement, and maintain credit risk models.
• Monitor and report performance of the models.
• Work closely with independent model validators.
• Collaborate with various stakeholders to develop analytical solutions.

Skills

Credit risk modeling

SQL

Python

SAS

Analytical thinking

Effective communication

Education

Degree in Quantitative/Financial discipline

Tools

Data analysis tools

Job description

Why Join

As a Lead Analyst / Analyst in the Wholesale Credit Risk Modelling team, you will play a crucial role in developing and maintaining sophisticated credit risk models that inform strategic decision-making across the bank. You will have the opportunity to work on high-impact projects, collaborate with cross-functional teams, and contribute to the bank's risk management framework. This is an exciting opportunity to build a rewarding career with a leading financial institution.

How you succeed

To excel in this role, you will need to demonstrate a deep understanding of credit risk modelling, technical expertise in data analysis and programming, and excellent communication skills. You will be responsible for leading the development of credit risk models, working closely with stakeholders to identify business needs, and ensuring that models are robust, accurate, and compliant with regulatory requirements. Your success will be measured by the quality of your models, your ability to communicate complex technical concepts to non-technical stakeholders, and your contribution to the bank's risk management framework.

What you do

• Develop, implement, and maintain credit risk models supporting the Wholesale segments (Corporates, Banks, Sovereign etc.) of the Group.
• Monitor, back‑test and report performance of the models to ensure adherence to performance standards and early detection of weaknesses.
• Develop and maintain user requirements, parameters and configurations of systems housing the models.
• Work closely with independent model validators to ensure compliance to model governance framework and timely closure of validation findings.
• Engage with auditors and regulators to ensure compliance with relevant requirements.
• Engage with various stakeholders to develop analytical solutions using model outputs in credit decisioning, business strategies, allowance, and capital assessment.

Who you work with

Group Risk Management Division

Group Risk Management works independently to protect, build, and drive our businesses. The team supports good decision‑making. With strong risk analysis. And a crucial, comprehensive role in sharpening our competitive edge. Optimising risk‑adjusted returns. It's about seeking and adopting best‑in‑class practices. Protecting the group from unforeseen losses. Keeping risk within appetite. Embracing change and managing growth in one of the world's strongest banks.

About the Group Credit Risk Modelling (CRM) Team

Group CRM is a high‑profile, multi‑disciplinary risk analytics team that covers credit risk models at OCBC Group. The key functions CRM performs include developing, implementing and managing various types of credit risk models, such as Credit Risk Scorecards, Internal Rating models, IFRS9‑based Expected Credit Loss models, Credit Stress Testing models, Economic Capital models and Machine Learning models that support Group's credit risk measurement. These models are embedded in the credit underwriting, customer selection, limit setting, early warning and problem recognition, as well as assessment of capital and provision adequacy.

Who you are

Qualification

• Degree in Quantitative/Financial discipline, such as Accounting, Finance, Economics, Mathematics, or equivalent professional certifications.

Experience

• For AVP: 5‑7 years of relevant experience.
• For MGR: 3‑4 years of relevant experience.
• For AM: We welcome fresh grads with strong and relevant academic qualifications to apply.
• Experience in conducting credit analysis / credit risk management of Wholesale portfolios, familiarity and use of external rating / market‑based indicators will be an advantage.

Others

• Analytical and independent thinker with strong written and verbal communication skills.
• Ability to interact and communicate effectively with senior management.
• Strong computational skills, preferably in SQL, Python, SAS etc. with an experience in handling data and performing quantitative analysis.
• Good understanding of Basel III, IFRS regulations and credit products.