Credit Risk Modelling Expert
Chennai, TN, India
Expleo
Expleo is a trusted partner for end-to-end, integrated engineering, quality services and management consulting for digital transformation.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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Tags: Banking Consulting Credit risk Data governance Econometrics Finance Machine Learning Mathematics ML models PhD Python R SAS SQL Statistics Testing
Region:
Asia/Pacific
Country:
India
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