Model Risk Management, Model Validation, Quantitative Risk Analytics (CRO Risk Modelling - Chennai)

Role : Model Risk Management, Model Validation, Quantitative Risk Analytics

Experience : Mid-level: 4+ Years Senior level: and 10+ Years

Location : Chennai

Job Description Context:

We are seeking Model Validation Analysts (Junior to Senior levels) to support independent Model Risk Validation (MRV) and Model Risk Management (MRM) activities across internal and vendor models within a regulated banking environment. The role supports the Banks compliance with U.S. regulatory expectations, including Federal Reserve SR 117, OCC 201112, and FDIC FIL222017, and alignment with internal governance frameworks. The role holder will be part of the Model Validation team responsible for validating a broad range of models including credit risk, fraud, AML, marketing, discounted cash flow, and other financial models. Responsibilities span conceptual soundness review, data integrity assessment, implementation testing, performance evaluation, documentation quality review, and governance reporting. The role supports the full model lifecycle, including validation planning, execution, documentation, engagement with model owners, independent challenge, remediation verification, and support for regulatory and audit interactions.

Key Skills and Experience:

• Demonstrated expertise in Model Risk Management (MRM) frameworks and strong understanding of U.S. regulatory expectations, including FRB SR 117, OCC 201112, and FDIC FIL222017. Hands-on experience Sin performing independent model validation for internal and vendor models across credit risk, fraud, AML, information security, and financial modeling domains
• Proven ability to evaluate model conceptual soundness, including assumptions, theoretical foundations, limitations, and appropriateness of model use
• Strong experience assessing data quality, integrity, relevance, and suitability, including review of data sourcing, transformations, and controls
• Ability to review and challenge model methodology, logic, implementation accuracy, and system integration controls. Practical experience conducting model performance monitoring, outcome analysis, benchmarking, and challenger model assessments
• Exposure to reviewing model change management, version control, retraining practices, and overall lifecycle management processes
• Proficiency in Python or R for quantitative analysis, validation testing, and benchmarking; working knowledge of SAS, SQL, and advanced Excel is desirable
• Strong capability to develop high-quality validation documentation, workpapers, and reports aligned with internal standards and regulatory expectations
• Ability to clearly communicate analytical results, validation findings, and remediation recommendations to technical and non-technical stakeholders
• Experience supporting regulatory reviews, audits, and internal governance forums through well-structured analysis and defensible documentation
• Strong analytical mindset, attention to detail, and ability to work independently while collaborating effectively within crossfunctional teams.