Senior Associate, AI Risk Model Validation.
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 prominent global financial services institution with a strong international presence. They are committed to innovation and excellence, maintaining a sophisticated environment that supports complex financial operations and risk management frameworks.
About the role.
This role focuses on the validation of advanced AI and machine learning models within a global banking environment. You will ensure that risk models are robust, compliant with regulatory standards, and effectively mitigate potential financial risks.
What you will do.
- Perform rigorous validation of AI and machine learning models used for risk assessment and financial decision-making.
- Develop and execute comprehensive testing plans to evaluate model performance, stability, and accuracy.
- Document validation findings and provide actionable recommendations to model developers and stakeholders.
- Ensure all model validation processes adhere to internal governance policies and external regulatory requirements.
- Collaborate with cross-functional teams to identify and mitigate model risks throughout the lifecycle.
- Monitor model performance post-implementation and conduct periodic reviews to ensure ongoing reliability.
- Stay updated on industry best practices and emerging trends in AI risk management and financial modeling.
What you bring.
- 4–7 years of professional experience in model validation, risk management, or quantitative analysis.
- Strong proficiency in machine learning algorithms and statistical modeling techniques.
- Hands-on experience with programming languages such as Python or R for data analysis and model testing.
- Solid understanding of financial risk management frameworks and regulatory guidelines.
- Excellent analytical and problem-solving skills with a high attention to detail.
- Strong communication skills to effectively present complex technical findings to non-technical stakeholders.
- Master’s degree in Quantitative Finance, Statistics, Mathematics, Computer Science, or a related field.
Other open roles.
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