Vice President, Core Risk Governance – Technology & Risk

About the role

The Vice President, Core Risk Governance – Technology & Risk, sits within BlackRock’s Risk & Quantitative Analysis (RQA) India, specifically the Core Risk Management team in Mumbai. The role leads risk governance, analytics, and exception management to deliver scalable, resilient oversight across BlackRock’s investment risk platform. Day-to-day, the VP establishes and leads the initial Mumbai team, builds connectivity with Gurgaon, and drives the design and delivery of technology, data, analytics, automation, and AI-enabled risk solutions. This is a hybrid role based in Mumbai, India.

What you’ll do

• Serve as the senior Core Risk Management leader in Mumbai and establish a strong local presence aligned with the wider Gurgaon-based organization.
• Build, lead, coach, and develop a high-performing team across technology, data, analytics, and risk-governance capabilities.
• Create an inclusive and connected team culture, ensuring strong collaboration, consistent standards, and effective knowledge sharing between Mumbai and Gurgaon.
• Support the phased development of the Mumbai location, including talent strategy, hiring, onboarding, capability building, workforce planning, and leadership development.
• Help shape the Core Risk Governance technology, data, automation, and AI roadmap, translating business and risk priorities into scalable solutions.
• Lead the end-to-end delivery of technology and analytics initiatives from problem definition and solution design through testing, implementation, adoption, and production support.
• Provide strong technical leadership across Python, SQL, data engineering, cloud and enterprise data platforms, automation, analytics, application development, and AI-enabled workflows.
• Apply risk-management expertise to the development of reporting, analytics, controls, monitoring, and governance solutions that support investment-risk oversight and senior decision-making.

What you’ll bring

• Bachelor’s or master’s degree in Engineering, Computer Science, Data Science, Artificial Intelligence, Mathematics, Finance, or a related quantitative discipline.
• More than 10 years of relevant experience across technology, data, analytics, risk management, investment management, or financial services.
• At least 5 years of demonstrated experience leading and developing teams, including people management, coaching, performance management, succession planning, and building leadership depth.
• Proven ability to establish or significantly scale a team, capability, or location while maintaining strong connectivity with a broader global or multi-location organization.
• Strong hands-on technical capability in Python, SQL, data engineering, cloud platforms, enterprise data solutions, automation, analytics, or application development.
• Experience designing and delivering complex technology, data, analytics, or AI-enabled solutions in a controlled production environment.
• Meaningful experience in risk management, investment management, portfolio analytics, regulatory reporting, governance, controls, or a closely related financial-services discipline.
• Strong stakeholder-management skills, including the ability to influence senior leaders, challenge constructively, navigate ambiguity, and drive decisions across organizational boundaries.

Nice to have

• Experience with artificial intelligence, large language models, agentic workflows, search, document intelligence, workflow automation, or AI governance is highly desirable.
• Strong understanding of modern solution architecture, data pipelines, system integration, secure development, testing, deployment, monitoring, and production support.
• Strong understanding of data governance, including ownership, data quality, lineage, reconciliation, metadata, access controls, and audit-ready documentation.
• Ability to connect technical design with risk context, business outcomes, user needs, and control requirements.
• Proven experience translating complex business and risk requirements into clear technical strategy, delivery priorities, and executable plans.
• Excellent written and verbal communication skills, with the ability to explain complex risk and technology topics clearly to technical and non-technical audiences.
• Experience providing direct or matrix leadership to analysts, associates, interns, and future hires, ensuring clear accountability and effective integration.
• Ability to assess emerging technologies and AI capabilities, balancing innovation and speed with reliability, safety, governance, and appropriate human oversight.

Skills

Benefits

• Strong retirement plan
• Tuition reimbursement
• Comprehensive healthcare
• Support for working parents
• Flexible Time Off (FTO)

Education

Bachelor's or master's degree in Engineering, Computer Science, Data Science, Artificial Intelligence, Mathematics, Finance, or a related quantitative discipline.