Counterparty Credit Risk Model Validation AVP/VP.
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 prominent global financial services and banking institution. The firm operates an integrated global network supporting diverse business divisions across international markets. Our client is known for maintaining robust risk frameworks and world-class operational capabilities.
About the role.
The Model Validation Group is seeking a skilled Counterparty Credit Risk Model Validation professional at the AVP or VP level. You will lead the independent validation of complex models used to measure CCR exposure, such as PFE, EPE, EAD, and CVA. This role requires evaluating internal risk management and regulatory capital models to ensure they are conceptually sound and compliant with global standards.
What you will do.
- Manage end-to-end validation of counterparty credit risk models, including Monte Carlo exposure simulation engines, netting and collateral models, and CVA/XVA pricing engines.
- Challenge modelling assumptions, mathematical frameworks, calibration, and stress testing approaches.
- Review model documentation, coding standards, and implementation testing, including independent replication or benchmarking as needed.
- Communicate validation findings effectively to model owners, governance committees, and senior management.
- Influence model risk policy and contribute to model governance frameworks.
- Deliver high-quality model validation reports and executive summaries aligned with internal policy and regulatory guidance such as Basel III.
- Ensure models are appropriately categorized and inventoried within the institution's Model Risk Management framework.
- Provide technical guidance to junior validators, lead peer reviews, and support their professional development.
- Conduct periodic reviews of model performance and validation of model changes while contributing to risk committees.
What you bring.
- 6 to 9 years of relevant quantitative experience in risk management or model validation.
- Strong graduate or post-graduate degree in Engineering, Mathematics, Computer Science, Economics, or another quantitative discipline.
- Basic understanding of stochastic calculus and numerical techniques for derivatives pricing such as Monte Carlo or Finite Difference.
- Expertise in Counterparty Risk Exposure models or Credit Models including CVA calculation.
- Proven work experience conducting quantitative analysis using programming languages such as Python, R, or VBA.
- Exposure to AI and Machine Learning techniques.
- Strong written communication and reporting skills in English to collaborate effectively with overseas stakeholders.
- Proactive and collaborative attitude with the ability to work with stakeholders in various positions.
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