AI Model Validation, RQA, Vice-President

Location:

Gurgaon, Haryana

Team:

Risk Analytics, Modeling, & Reporting

Job Requisition #: R257938

Date posted: Nov. 25, 2025

About this role

Business Overview

The Risk & Quantitative Analysis (RQA) group provides independent oversight of BlackRock's fiduciary and enterprise risks. RQA's principalobjectivesare to advance the firm's risk management practices and to deliver independent riskexpertiseand constructive challenge to drive better business and investment outcomes.

RQA is committed to investing in our people to increase individual enablement andultimately builda stronger team. Our goal is to create a culture of inclusion which encourages collaboration, innovation,diversityand the development our future leaders. We actively engage in discussions on career growth and work with team members to understand how personal passions and strength connect with our purpose.

Role Description:

The Enterprise Risk team within RQA oversees those risks which directlyimpactthe corporate entity (i.e.BlackRock, Inc., or one of its subsidiaries), rather than the fiduciary risks assumed by funds/clients, such as investment risks and counterparty risks. The team's focus includes but is not limited to operational risk, technology, vendor, model and market risk, stress testing for marketriskand the quantitative estimation of capital adequacy requirements.

TheAI Model ValidationAssociate/VP will perform independent reviews of AI/ML models used across BlackRock, including generative AI, predictive analytics, and natural language processing models. This role requires strong technicalexpertisecombined with risk management skills to challenge model design, data integrity, and performance monitoring.The role will be basedonsiteinourGGNoffice.

Key Responsibilities:

• Conduct independent validation of AI/ML models, including generative AI systems, recommendation engines, and predictive models.

• Design and implement comprehensive validation strategies and test plans tailored to each AI use case. Define clear success criteria and quality benchmarks to measure whether the AI solution meets all requirements and standards.

• Assess conceptual soundness,methodology, and alignment with intended business use.

• Review data quality, preprocessing steps, and feature engineering for AIuse cases.

• Execute functional and performance tests.

• Evaluate performance metrics, robustness, and limitations under various scenarios.

• Document validation findings, provide recommendations

• Stay current on emerging AI technologies, validation techniques, and regulatory developments.

• Communicate validation conclusions to relevant stakeholders,including escalatingidentifiedfindings, risks or gaps to senior leadership and approval committees

• Collaborate with AI Engineering, Data Science, and Risk teams to enhanceAItransparency and trustworthiness.

Experience, Skills and Qualification:

• With 7-10years'worksexperience in the financial industry.

• Advanced degree(MS, PhD)in Computer Science, Data Science, Statistics, Applied Mathematics, or related field.

• Strong understanding of AI/ML algorithms, including deep learning, NLP, and generative models.

• Experience with Python, R, or similar programming languages; familiarity with ML frameworks (TensorFlow,PyTorch).

• Knowledge ofAIrisk management principles, validation methodologies, and regulatory expectations.

• Excellent analytical, communication, and documentation skills.

• Ability to work independently and challenge stakeholders constructively.

• Experiencevalidatinglarge language models (LLMs) or generative AI systems.

• Familiarity with AI ethics, bias detection, and explainability frameworks.

• Exposure tocloud-based AI platforms and scalable model deployment.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn:

BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.

Job Requisition #

R257938