Expleo

Credit Risk Modelling Expert

Job Locations
IN-TN-Chennai
Job area
Quality & Testing
Employment type
Permanent
Industry
Banking & Financial Services
Workplace
Hybrid
ID
2025-44187

Overview

Credit Risk Models Expert

Responsibilities

  • Lead the design and execution of model testing strategies for PD, LGD, and EAD models across retail, SME, and corporate portfolios.
  • Build and manage a testing framework including input validation, model recalculation, performance tracking, stress testing, and documentation.
  • Collaborate with model developers, business teams, auditors, and regulators to ensure transparency and alignment with risk and capital objectives.
  • Interpret model outputs and translate complex statistical results into business-friendly insights and recommendations.
  • Review and sign off on model validation reports and model performance dashboards.
  • Support internal and external audits (e.g., SARB, internal audit, regulators) with detailed technical documentation and evidence.
  • Ensure ongoing compliance with Basel AIRB, IFRS 9, and ICAAP requirements.
  • Stay updated with regulatory changes, industry trends, and best practices in risk modeling.
  • Conduct peer reviews, mentoring, and training to upskill team members in model testing and validation.

Qualifications

  • Certification in FRM/PRM/CQF is a plus.
  • Experience with data governance, risk data aggregation (BCBS 239).
  • Familiarity with machine learning techniques in credit modeling is desirable but not mandatory.

Essential skills

Expertise in Credit Risk Models

Desired skills

  • Master’s degree or PhD in Statistics, Econometrics, Quantitative Finance, Mathematics, or related field.
  • 15+ years of experience in credit risk model development, validation, or audit within a banking or consulting environment.
  • Deep knowledge of Basel II/III, IFRS 9, IRB models, and capital adequacy frameworks.
  • Proficiency in model validation methodologies (discriminatory power, calibration, backtesting, sensitivity analysis).
  • Hands-on expertise in Python, R, SAS, SQL, and/or model risk management platforms (e.g., Moody’s RiskAuthority, SAS IRM).
  • Strong understanding of banking products and exposure types: loans, overdrafts, credit cards, guarantees, etc.
  • Proven experience in regulatory and stakeholder engagement.
  • Excellent analytical, leadership, and communication skills.

Experience

15+ years

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