Posted 17 days ago
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BNY Mellon is hiring a Vice President in Model Risk Management to lead model validation efforts for credit, treasury, market, pricing, forecasting and AI models. The role is responsible for defining validation scope, designing and executing tests, evaluating model conceptual frameworks, and ensuring technical accuracy of quantitative methods. You'll review outputs from junior colleagues, provide technical direction, and ensure adherence to enterprise validation standards and governance. This position is based in Pune and requires strong quantitative, programming, documentation, and communication skills.
- Compensation
- Not specified
- City
- Pune
- Country
- India
Currency: Not specified
Full Job Description
Vice President, Model Risk Validation
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 are seeking a future team member for the role of VICE PRESIDENT to join our MODEL RISK MANAGEMENT team. This role is located in PUNE.
In this role, you’ll make an impact in the following ways:
1) Credit Risk Modeling, 2) Treasury Modeling, 3) Market Risk Modeling, 4) Pricing Modeling, 5) Forecasting, 6) AI
- Execute enterprise standards for model validation, by setting the scope of a validation effort. This entails designing the tests and review activities necessary to evaluate a model.
- Evaluate the strengths and weaknesses of a model's conceptual framework to identify situations where a model may become less useful.
- Reviews accuracy of reports and calculations performed by less experienced colleagues.
- Responsible for the technical direction, accuracy, and soundness of quantitative methods in the assigned area. Decisions and assumptions recommended by the incumbent have significant impact on the financial and risk position of the Bank or legal entity supported.
- Complete required training, disclosures, attestations, and certifications within deadlines.
To be successful in this role, we are seeking the following:
- Master's Degree or PhD in a quantitative discipline, including engineering, mathematics, physics, statistics, econometrics.
- The candidate must have a superb quantitative and analytical background with a solid theoretical foundation coupled with strong programming, documentation, and communications skills.
- Minimum 2 years (2 - 5 preferred) of modelling experience in financial services.
- Must have experience with complex quantitative modelling, numerical analysis, and computational methods using programming languages (such as Python, C/C++, C#, Java, FORTRAN, MATLAB, SAS) as well as mathematical/statistical software packages.
At BNY, our culture speaks for itself, check out the latest BNY news at:
Here are a few of our recent awards:
- America’s Most Innovative Companies, Fortune, 2025
- World’s Most Admired Companies, Fortune 2025
- “Most Just Companies,” Just Capital and CNBC, 2025
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.
