IRB Modeler - Credit Risk - Wholesale Banking

Department Icon BFSI (Credit & Risk)
Posted: 1 week ago
8-15 years
Mumbai,Navi Mumbai,Maharashtra
BFSI (Credit & Risk)
work from office
Full Time
Closes 4 Dec 2026

Posted: 1 week ago
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Job Description

IRB Modeler (Wholesale Banking / Mortgages)

Location: Mumbai

Role Overview:

We are seeking an experienced IRB Modeler to drive the development, refinement, and ongoing validation of advanced Internal Ratings-Based (IRB) credit risk models across Wholesale Banking and Mortgage portfolios. In this role, you will lead parameter estimation, ensure alignment with regulatory standards (e.g., UK PRA / Basel 3.1), and maintain robust data governance across the full model lifecycle.

Key Responsibilities:

  • Parameter Development & Calibration: Design, build, and refine IRB credit risk parameters (PD, LGD, EAD/CCF) and maturity capital calculations for Wholesale Banking and Mortgage portfolios in line with supervisory requirements.
  • End-to-End Model Lifecycle Management: Lead the full model lifecycle - from scoping, data extraction, and model design to technical documentation and presentation to 3LOD risk governance committees (e.g., GRC, BRC).
  • Performance Monitoring & Backtesting: Conduct annual model reviews, calibration checks, backtesting, and discriminatory power analysis; identify performance deficiencies and implement remediation plans.
  • Regulatory Transformation & Basel 3.1 Alignment: Research, design, and implement best-practice methodologies to comply with evolving regulations.
  • Data Architecture & BCBS 239 Governance: Build automated, customer-level Basel and IFRS 9 data pipelines while ensuring adherence to BCBS 239 / RDARR principles regarding data quality, lineage, and auditability.
  • Stress Testing & ICAAP Frameworks: Develop bespoke wholesale and retail RWA, PD, and LGD stress testing tools to support ICAAP, Climate Risk Stress Testing, and macro-economic scenario analysis.
  • Model Validation & Audit Support: Collaboratively support independent model validation teams, internal audit, and regulatory reviews.
  • Cross-Functional Analytics & Automation: Leverage advanced tools (Python, SQL, SAS, Tableau, Power BI) to automate parameter execution engines, perform portfolio analytics, and deliver executive-level risk reporting dashboards.
  • Stakeholder Engagement & Governance: Act as a key technical contact for business line leaders, credit risk policies, and regulatory bodies to ensure model outputs align with underwriting strategies and risk appetite frameworks.

Skills

Credit RiskRisk ManagementRisk ModelingBankingStress TestingWholesale BankingCredit RiskCredit Risk PoliciesUnderwriting

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