
Vice President, Model Risk Management
at BNY Mellon
Posted a month ago
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- Compensation
- Not specified
- City
- Pune
- Country
- India
Currency: Not specified
BNY Mellon is hiring a Model Risk Management specialist to validate and govern AI/ML models, including large language models and agentic AI. The role involves reviewing model architecture, feature engineering, tuning, and performance; designing and executing tests for conceptual soundness, robustness, bias, and monitoring via shadow frameworks. You will assess explainability, fairness, and governance controls, validate traditional quantitative models as needed, collaborate with developers, and prepare clear validation reports for senior stakeholders. The position is based in Pune and requires strong ML/AI theoretical knowledge and hands-on experience with common frameworks.
Vice President, Model Risk Management
At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.
Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.
We’re seeking a future team member for the role of Model Risk Management Specialist to join our Risk & Regulatory Compliance team. This role is located in Pune.
In this role, you’ll make an impact in the following ways:
- Perform validation of AI/ML models with a primary focus on machine learning and artificial intelligence models, including applications of Large Language Models.
- Review model architecture, feature engineering, hyperparameter tuning, and performance metrics; design and execute tests for conceptual soundness, robustness, bias, and real-time performance monitoring via shadow frameworks.
- Assess AI explainability, fairness, and governance controls; perform validation of GenAI and agentic AI models, and facilitate the formulation of policies, procedures, and automation for these models.
- Provide ad-hoc review and validation of traditional quantitative models, identify model-specific risks, propose and implement controls, collaborate with developers, conduct independent research on emerging AI/ML techniques, and prepare clear validation reports for senior stakeholders.
To be successful in this role, we’re seeking the following:
- Master’s degree or PhD in a quantitative discipline such as Engineering, Mathematics, Physics, Statistics, Econometrics, or Data Science.
- Strong theoretical foundation in ML/AI techniques including supervised, unsupervised, and deep learning.
- Hands-on experience with ML/AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and XGBoost.
- Programming proficiency in Python or R (MATLAB or similar acceptable).
- Excellent communication and presentation skills with the ability to explain complex concepts to non-technical stakeholders.
- Keen interest in financial engineering, market-product modelling, econometrics, data science, or AI.
- Prior model-validation experience in ML/AI space, Credit, Market, Treasury, or Pricing risk.
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Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.
BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.




