Vice President, Model Risk Management

We are seeking a future team member for the role of VICE PRESIDENT to join our MODEL RISK MANAGEMENT team in PUNE. This role supports the independent validation of models used across the firm and may align to one or more of the following areas:

1) Credit Risk Modeling (Wholesale or Retail portfolios), 2) Operational Risk, 3) Capital Stress Testing

In this role, you will:

• Lead and execute independent model validations in accordance with enterprise model risk management standards for model validation, by setting the scope of a validation effort.

• Define the scope, validation approach, and testing strategy for assigned models, including conceptual review, data assessment, methodology evaluation, outcomes analysis, benchmarking, implementation review, and performance monitoring assessment.

• Assess the conceptual soundness, assumptions, limitations, and fitness for purpose of models, and identify circumstances under which model performance or usefulness may deteriorate.

• Develop clear, well-supported validation conclusions and communicate model strengths, weaknesses, limitations, and risks through high-quality technical documentation and validation reports.

• Provide effective challenge to model developers and stakeholders on model design, assumptions, methodology, performance, and model use.

• Review analyses, calculations, and documentation prepared by junior team members to ensure technical accuracy, consistency, and adherence to validation standards.

• Complete required training, disclosures, attestations, and certifications within deadlines.

• Demonstrate curiosity and willingness to embrace emerging AI capabilities to support BNY’s AI-first strategy, including the development and adoption of AI agents and digital employees.

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.

• 5–7 years of relevant experience in model validation, model development, or quantitative risk management within financial services.

• Strong understanding of model risk management principles and applicable regulatory guidance, such as SR 11-7, SR – 26 –2, SR 15-18, CCAR, Basel, CECL, IFRS9, EMIR, PRA SS1/23, etc.

• Possess a strong analytical background with a solid theoretical foundation coupled with advanced computational programming, technical documentation, and communications skills.

• Experience of working with PD / LGD / EAD models, Wholesale and retail credit risk, Scorecards / rating models, Stress testing / scenario models, Portfolio risk concepts (default, migration, concentration, provisioning, economic capital, RWA).

• Must have experience with complex quantitative modelling, numerical analysis, and computational methods using programming languages (such as Python, R, C++, Java, MATLAB, SAS) as well as mathematical/statistical software packages.

• Familiarity with AI-enabled tools and digital agents (i.e. BNY's patented AI Agent - Eliza) to enhance analytical workflows, improve productivity, and deliver high-quality outputs.

• Ability to effectively partner with AI tools and intelligent Digital Employees to accelerate research, validation, documentation, and insight generation while applying strong professional judgment.