Vice President, Model Risk Management

As a Vice President in the Model Risk Management team in Pune, your role will involve leading and executing independent model validations according to enterprise standards. This includes defining the scope, validation approach, and testing strategy for assigned models, assessing conceptual soundness, developing validation conclusions, and providing effective challenge to model developers and stakeholders. You will also review work done by junior team members, complete required training and certifications, and embrace emerging AI capabilities to support the company's AI-first strategy. Key Responsibilities: - Lead and execute independent model validations following enterprise model risk management standards - Define scope, validation approach, and testing strategy for assigned models - Assess conceptual soundness, assumptions, limitations, and fitness for purpose of models - Develop clear validation conclusions and communicate model strengths, weaknesses, limitations, and risks - Provide effective challenge to model developers and stakeholders - Review work of junior team members for technical accuracy and adherence to standards - Complete required training, disclosures, attestations, and certifications - Embrace emerging AI capabilities to support the company's AI-first strategy Qualifications Required: - Master's Degree or PhD in a quantitative discipline (engineering, mathematics, physics, statistics, econometrics) - 5-7 years of relevant experience in model validation, model development, or quantitative risk management in financial services - Strong understanding of model risk management principles and regulatory guidance - Strong analytical background with advanced computational programming skills - Experience with various credit risk models, stress testing models, and portfolio risk concepts - Proficiency in programming languages and mathematical/statistical software packages - Familiarity with AI-enabled tools and digital agents to enhance analytical workflows If you are successful in this role, you will have the opportunity to contribute to the independent validation of models used across the firm and support the company's AI-first strategy by leveraging emerging AI capabilities. As a Vice President in the Model Risk Management team in Pune, your role will involve leading and executing independent model validations according to enterprise standards. This includes defining the scope, validation approach, and testing strategy for assigned models, assessing conceptual soundness, developing validation conclusions, and providing effective challenge to model developers and stakeholders. You will also review work done by junior team members, complete required training and certifications, and embrace emerging AI capabilities to support the company's AI-first strategy. Key Responsibilities: - Lead and execute independent model validations following enterprise model risk management standards - Define scope, validation approach, and testing strategy for assigned models - Assess conceptual soundness, assumptions, limitations, and fitness for purpose of models - Develop clear validation conclusions and communicate model strengths, weaknesses, limitations, and risks - Provide effective challenge to model developers and stakeholders - Review work of junior team members for technical accuracy and adherence to standards - Complete required training, disclosures, attestations, and certifications - Embrace emerging AI capabilities to support the company's AI-first strategy Qualifications Required: - Master's Degree or PhD in a quantitative discipline (engineering, mathematics, physics, statistics, econometrics) - 5-7 years of relevant experience in model validation, model development, or quantitative risk management in financial services - Strong understanding of model risk management principles and regulatory guidance - Strong analytical background with advanced computational programming skills - Experience with various credit risk models, stress testing models, and portfolio risk concepts - Proficiency in programming languages and mathematical/statistical software packages - Familiarity with AI-enabled tools and digital agents to enhance analytical workflows If you are successful in this role, you will have the opportunity to contribute to the independent validation of models used across the firm and support the company's AI-first strategy by leveraging emerging AI capabilities.