IRB Credit Modeller

May 27, 2026

Job Description

The role focuses on developing and maintaining credit risk models to analyze financial risk, portfolio performance, and customer credit behavior.

The candidate will:

  • Build statistical and predictive risk models
  • Analyze large datasets
  • Validate and monitor risk models
  • Support regulatory compliance
  • Provide business insights for decision-making

This role requires strong analytical skills, statistical modelling expertise, and experience with financial risk systems.


Key Responsibilities

1. Credit Risk Model Development

  • Develop credit risk models using:
    • SAS
    • Python
    • Other analytical tools
  • Analyze large datasets to identify risk patterns and trends

2. Cross-Functional Collaboration

  • Work with:
    • Business teams
    • Risk teams
    • Data teams
  • Understand business requirements and develop suitable analytical solutions

3. Model Validation & Monitoring

  • Validate risk models to ensure:
    • Accuracy
    • Stability
    • Regulatory compliance
  • Monitor model performance and make improvements when needed

4. Portfolio & Risk Analysis

  • Provide insights on:
    • Portfolio performance
    • Risk exposure
    • Credit trends
    • Business opportunities
  • Support strategic decision-making using data-driven analysis

Required Skills

Technical Skills

  • Credit Risk Modelling
  • Statistical Modelling
  • Model Development
  • Predictive Analytics
  • Data Analysis

Programming Languages

  • SAS
  • Python
  • R

Financial & Risk Knowledge

  • IRB (Internal Ratings Based) Systems
  • Credit Risk Analytics
  • Regulatory Compliance
  • Portfolio Risk Analysis

Soft Skills

  • Problem Solving
  • Analytical Thinking
  • Communication Skills
  • Collaboration
  • Attention to Detail

Experience Required

  • 5–20 years in:
    • Credit Risk Modelling
    • Risk Analytics
    • Related Financial Analytics Roles

Role Details

  • Role: Data Science & Analytics – Other
  • Industry: Financial Services
  • Department: Data Science & Analytics
  • Employment Type: Full Time, Permanent
  • Role Category: Data Science & Analytics

Education

  • Graduation Not Required

Key Skills

  • Credit Risk Modelling
  • IRB
  • Model Development
  • SAS
  • Python
  • R Programming
  • Statistical Modelling
  • Risk Analytics
  • Data Analysis