MGR/AVP, Senior Analyst, 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 seeks an Analyst/Senior Analyst for their Credit Risk Modelling team. This position involves developing and maintaining credit risk models that guide strategic decision-making. Candidates should have a degree in a quantitative field and 3-5 years of relevant experience. Key skills include credit risk modelling, data analysis, and proficiency in SQL, Python, and SAS. This role offers the opportunity to work on high-impact projects within a dynamic team environment.

Qualifications

• 3-5 years of relevant experience in credit analysis/modelling or credit risk management.
• Analytical and independent thinker with strong communication skills.
• Experience in handling data and performing quantitative analysis.

Responsibilities

• Develop, implement, and maintain credit risk models for various segments.
• Monitor and report on model performance to ensure standards.
• Engage with stakeholders to develop business solutions based on model outputs.

Skills

Credit risk modelling

Data analysis

Communication skills

SQL

Python

SAS

Education

Degree in Quantitative/Financial discipline

Job description

Why Join

As a Analyst/Senior Analyst in the 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 strong 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 Consumer, Small Business and Wholesale segments 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 support 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

• Degree in Quantitative/Financial discipline, such as Accounting, Finance, Economics, Mathematics, or equivalent professional certifications.
• Working experience in credit analysis/modelling or credit risk management of Consumer, Small Business and/or Wholesale portfolios.
• Analytical and independent thinker with strong written and verbal communication skills.
• Ability to interact and communicate effectively with senior management.
• At least 3-5 years of relevant experience in a related area.
• 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.