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

• 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.