# Vice President, Core Risk Governance – Technology & Risk

**Company**: BlackRock
**Location**: Mumbai
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Finance
**Industry**: Finance
**Wikidata**: https://www.wikidata.org/wiki/Q219635

**Apply**: https://blackrock.wd1.myworkdayjobs.com/en-US/BlackRock_Professional/job/Mumbai-India/Core-Risk-Governance---Technology---Risk--RQA--Vice-President_R265992?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_ac5c6042-a67

## Description

Managing risk is central to BlackRock's investment process. The Vice President, Core Risk Governance – Technology & Risk, will be the senior Core Risk Management leader based in Mumbai and a key member of the Core Risk Governance team.

This is a highly visible leadership role combining people management, technical delivery, risk expertise, and location build-out. The successful candidate will establish and lead the initial Mumbai team, create strong connectivity with the Gurgaon organization, and help build a cohesive, high-performing, and scalable multi-location operating model.

**Key Responsibilities**

- 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.

- Provide direct or matrix leadership to Mumbai-based analysts, associates, interns, and future hires, ensuring clear accountability and effective integration into their respective Core Risk Management teams.

- 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.

- Remain sufficiently hands-on to review solution architecture, challenge technical approaches, resolve complex delivery issues, and raise engineering and analytical standards.

- Partner with Risk, Investment, Data, Technology, Compliance, and Control teams to understand business requirements and deliver practical, controlled, and sustainable outcomes.

- Apply risk-management expertise to the development of reporting, analytics, controls, monitoring, and governance solutions that support investment-risk oversight and senior decision-making.

- Establish disciplined delivery standards covering software and product development lifecycles, testing, documentation, code quality, access management, issue tracking, release governance, and operational resilience.

- Build robust data-quality checks, monitoring, exception management, reconciliation, lineage, metadata, and escalation processes for risk analytics and AI-enabled applications.

- Ensure solutions are accurate, transparent, explainable, secure, user-focused, and aligned with relevant risk, data, technology, privacy, and control expectations.

- Assess emerging technologies and AI capabilities, balancing innovation and speed with reliability, safety, governance, and appropriate human oversight.

- Communicate priorities, risks, delivery progress, and key decisions clearly to senior stakeholders and leadership forums.

- Act as a role model for ownership, collaboration, sound judgment, technical excellence, and talent development.

**Skills & Qualifications**

- 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.

- Demonstrated experience leading and developing teams for at least 5 years, 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.

- Strong understanding of modern solution architecture, data pipelines, system integration, secure development, testing, deployment, monitoring, and production support.

- Meaningful experience in risk management, investment management, portfolio analytics, regulatory reporting, governance, controls, or a closely related financial-services discipline.

- 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.

- Strong understanding of data governance, including ownership, data quality, lineage, reconciliation, metadata, access controls, and audit-ready documentation.

- Experience with artificial intelligence, large language models, agentic workflows, search, document intelligence, workflow automation, or AI governance is highly desirable.

- Strong stakeholder-management skills, including the ability to influence senior leaders, challenge constructively, navigate ambiguity, and drive decisions across organizational boundaries.

- Excellent written and verbal communication skills, with the ability to explain complex risk and technology topics clearly to technical and non-technical audiences.

**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.

## Skills

### Required
- Python
- SQL
- data engineering
- cloud platforms
- enterprise data solutions
- automation
- analytics
- application development
- risk management
- investment management
- portfolio analytics
- regulatory reporting
- governance
- controls

### Nice to have
- artificial intelligence
- large language models
- agentic workflows
- search
- document intelligence
- workflow automation
- AI governance

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