Associate - Data Analytics
- Location Mumbai, India
- Experience 5+ yrs
- Job type Full-time
- Posted 8 Oct 2026
- Qualification MBA / Bachelor's
You will be taken to BlackRock’s own careers page to apply. Job ID R263881.
Job description
About this role
The HPS/BlackRock Transaction brings together BlackRock’s corporate and asset owner relationships with HPS’s diversified origination and capital flexibility. BlackRock and HPS have formed a new private financing solutions business unit (“PFS”) led by Scott Kapnick, Scot French, and Michael Patterson, creating an integrated franchise with approximately $370 billion in client assets, including $205 billion of private credit assets. This combined platform, which has more than 590 investment professionals and approximately 1,300 employees globally, offers broad capabilities across senior and junior credit solutions, asset-based finance, real estate, CLOs and GP-LP solutions. As part of the HPS/BlackRock Transaction, Scott Kapnick, Scot French, and Michael Patterson have joined BlackRock’s Global Executive Committee, and Scott Kapnick has been appointed as an observer to the BlackRock Board.
About the team The IT Data Analytics team is responsible for sourcing, processing,distributing data internally and externally. The team covers data needs across all aspects of investment analysis, portfolio management, back-office processing, investor reporting, and regulatory filings. Data Analytics team members collaborate closely with SMEs across Front Office, Backoffice, Investor Relations, Tax, Legal, Management Company in delivering data reporting and analytics technology solutions.
PFS is seeking an Associate, IT Data Analytics to join the firm’s technology organization in Mumbai. This role is primarily analytics engineering–focused, with responsibility across data engineering, analytics modeling, business intelligence, and support for AI‑enabled analytics use cases supporting HPS’s Public & Private Credit, CLO, and Long/Short Credit investment platforms. The Associate will work closely with senior analytics engineers, business users, and offshore/onshore development teams to build analytics‑ready datasets, dashboards, and reporting solutions used by Portfolio Management, Risk, Operations, Finance, and Investor Relations.