Model Risk Management Consultant.
This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.
About the organisation.
SYMPHONI HR is partnering with a leading financial services organisation in the banking sector, known for its scale, robust governance and commitment to responsible risk practices. The client operates across a broad range of banking and financial markets activities and values rigorous, evidence-based decision making. Its culture emphasises collaboration, continuous learning and professional growth for its risk and analytics teams.
About the role.
This role sits within the Model Risk Management function and focuses on independent validation of statistical, qualitative and AI/ML models used across banking, including financial crime and compliance models. You will assess model design, performance and documentation against regulatory expectations and communicate findings clearly to stakeholders. The position is hybrid, based in Mumbai / Pune, and suits professionals who combine strong quantitative skills with a sound understanding of banking regulation.
What you will do.
- Perform independent validation of in-house and vendor statistical, qualitative and AI/ML models
- Assess conceptual soundness, data quality, assumptions and limitations of models across their lifecycle
- Design and execute model validation tests, benchmarking and outcome analysis
- Evaluate financial crime and compliance models such as AML transaction monitoring, customer risk rating, sanctions screening, fraud detection and name matching
- Ensure validation activities align with regulatory requirements including E-23, FED SR11-7/26-2, OCC and CFPB guidance
- Prepare clear, well-structured validation reports and present findings to stakeholders and senior management
- Track remediation of validation findings and support model owners in resolving issues
- Collaborate with model developers, risk teams and governance committees to strengthen model risk frameworks
What you bring.
- 5 to 10 years of experience in model validation, model risk management or quantitative analytics in banking or financial services
- Strong knowledge of regulatory requirements such as E-23, FED SR11-7/26-2, OCC and CFPB
- Hands-on proficiency in SAS, Python, R, Excel and SQL
- Solid grounding in statistical methods including linear and logistic regression, survival analysis, ARIMA and advanced machine learning
- Experience in model development and validation testing techniques
- Understanding of financial crime and compliance models such as AML, sanctions screening and fraud detection
- Excellent report writing and communication skills
- Effective stakeholder management and ability to work in a hybrid setting in Mumbai / Pune
- Knowledge of the financial services and banking domain
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