Research Associate - Investor Data

About this role

Preqin, a part of BlackRock, provides private markets data and technology that complement Aladdin's whole-portfolio solutions.

The Research Associate combines alternatives research, investor-data stewardship, outreach and AI automation to deliver reliable intelligence across a growing universe of firms. As a Data Custodian operating under the designated Data Steward, the Associate is responsible for maintaining the coverage, quality and integrity of investor data across an assigned North American universe.

Key responsibilities

• Research investors active in the alternative assets markets using approved public and proprietary sources; maintain investor profiles and interpret developments for clients.
• Help build, test and refine approved AI agents, agentic workflows and web-monitoring tools with technology and research colleagues; validate outputs with human oversight.
• Build investor relationships through targeted, approved outreach to verify information and capture intelligence on allocations, mandates and organizational changes.
• Review and correct data, reconcile conflicting evidence and resolve exceptions under Data Steward standards; document decisions and escalate unresolved risks.
• Maintain source provenance and audit-ready records; follow governance, privacy, security and AI-risk standards using approved tools and permitted data.
• Collaborate across research, data, product, engineering and client teams to improve workflows, share practices and measure coverage, accuracy, cycle time and rework.

What you'll bring to us

• Bachelor's degree or equivalent professional experience.
• 4+ years in alternatives, private markets or institutional-investor research, ideally at an LP, GP, private-markets data provider or alternatives-focused firm.
• Strong knowledge of the alternative investment market.
• Sound analytical judgment, data literacy and commitment to governance; able to reconcile evidence, manage competing priorities and document defensible decisions.
• Strong technical literacy with an interest in learning and applying new tools, technologies, and automation techniques to improve research quality, efficiency, and scale.
• Strong communication and cross-functional collaboration skills, with curiosity and learning agility.

Preferred experience

• Experience with alternative-assets datasets, workflow or data-quality systems, structured data tools or business intelligence, and demonstrable AI/automation improvements with human oversight.

Pay and benefits

For NY7 - 50 Hudson Yards, New York Only the salary range for this position is USD$110,000.00 - USD$140,000.00. Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

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.

Guidance on AI use for candidates

At BlackRock, AI has long been part of how we work - enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we've provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.