Index Research (Index Methodology Expert), BlackRock Global Markets, Vice President
BlackRock
Mumbai, IndiaPosted 1 month ago
Skill Required
related fieldEngineeringR ProgramminganalyticalanalyticsbuildingwrittenPythondesignUnitySQLandAIFulltime
Key highlights
- 7+ years of relevant experience required.
- Master's degree in Finance, Mathematics, Economics, Engineering or related field required.
- Programming skills in Python, R, and SQL required.
- Flexible Time Off (FTO) offered as a benefit.
- Hybrid work model – at least 4 days in‑office per week.
- Strong retirement plan and tuition reimbursement available.
Role overview
Index Projection & Analytics is a specialist team of index methodology experts that drives better index investment outcomes through high‑integrity data, advanced analytics, and advocacy for stronger index standards. The seasoned Index Researcher will produce forward‑looking index projections, collaborate across quantitative and product teams, apply data science techniques, and help shape BlackRock’s best‑in‑class Index Research Analytics platform while supporting a global team managing the world’s largest book of index investment assets.
Responsibilities
- Play an integral role in producing high quality, forward looking index projections that drive investor trade decisions.
- Research expected index changes, upcoming corporate actions, and major index rebalances and conduct statistical analysis to help build and drive our analytical offering.
- Play an integral part in defining and building out a best-in-class Index Research Analytics platform for BlackRock.
- Collaborate with Quantitative Research to apply modeling techniques to address index investing challenges and opportunities.
- Be an active voice in our index portfolio management process.
- Partner & support index strategy and product teams with benchmark analysis.
- Apply advanced data science techniques on complex financial data to generate commercial value for our business partners.
- Provide data insights and thought leadership for internal and external client use.
- Build strong relationships with index partners in research, data & technology.
- Design and implement risk controls to detect anomalies in index data and methodologies.
Requirements
- 7+ years of relevant experience.
- Master's degree or equivalent in Finance, Mathematics, Economics, Engineering or related field.
- Ability to demonstrate a blend of technical and analytical skills, with an equally placed importance on communication and presentation.
- Passion for investing and a continuous desire to learn more about financial markets and fund management.
- Clear, logical thinker with strong quantitative problem‑solving abilities.
- Comfortable at developing cross‑functional relationships at all levels.
- Understanding of index engineering & methodology concepts.
- Strong understanding of cross‑asset, index investing.
- Ability to multitask and prioritize assignments while producing high quality work in a demanding, fast‑paced environment.
- Excellent verbal and written communication, teamwork, and relationship‑building skills.
- Programming skills requirement: Python, R, and SQL.
Nice to have
- Data Science, Data management and Data visualization tools and techniques – a strong plus.
- Experience with Aladdin tools and knowledge of Aladdin data sources are a plus.
- Bloomberg & Factset knowledge is an advantage.
- Index construction and methodology expertise a strong plus.
Benefits
- Strong retirement plan.
- Tuition reimbursement.
- Comprehensive healthcare.
- Support for working parents.
- Flexible Time Off (FTO).
Additional details
- Business Unit Overview: BlackRock Global Markets and Index Investments (BGM) combines Index Investments, Cash Management, Global Trading, ETF Markets, Securities Lending, and Financing & Financial Resource Management.
- Hybrid work model: employees are required to work at least 4 days in the office per week with the flexibility to work from home 1 day a week; some groups may require more office time.
- Guidance on AI use for candidates: BlackRock encourages thoughtful AI use during preparation but focuses interview evaluation on personal experience, thinking, and judgment.
- About BlackRock: mission to help more people experience financial well‑being; commitment to inclusive environment, networks, benefits, and development opportunities.
- Equal Opportunity Employer statement.