Model Risk Management Professional.
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.
Our client is a leading global financial services institution known for its robust risk management practices and commitment to innovation. They operate across various segments of the financial industry, serving a diverse client base worldwide. The company fosters a culture of excellence, collaboration, and continuous learning, providing ample opportunities for professional growth.
About the role.
We are seeking a highly experienced Model Risk Management professional to join our client's team in Mumbai. In this critical role, you will be instrumental in ensuring the robustness and validity of various models used across the organization. You will contribute significantly to sound risk management practices and regulatory compliance, working with a diverse range of quantitative models.
What you will do.
- Perform independent model validation across a range of model types (e.g., credit, market, operational risk, ALM)
- Assess model conceptual soundness, data quality, implementation, and performance
- Document validation findings, limitations, and recommendations clearly and concisely
- Collaborate with model developers and business units to understand model usage and context
- Stay updated on regulatory requirements and industry best practices related to model risk management
- Contribute to the enhancement of model risk governance frameworks and policies
What you bring.
- 15–25 years of experience in model validation or model development within financial services
- Strong understanding of quantitative finance, statistical modeling, and risk management concepts
- Proficiency in programming languages such as Python, R, or SAS
- Experience with regulatory frameworks like SR 11-7/OCC 2011-12
- Excellent analytical, problem-solving, and communication skills
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Financial Engineering, Economics, or Computer Science
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