- Location
- BL4 - KNG Tower 1, Indiqube Symphony, Floors 1 -5, No. 25 MG road, Bengaluru 560001, India
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Management
- Education
- Certification
- Closing date
- Today
- Source
- Workday
Description
About this role
About Preqin (A BlackRock Company)
Preqin, part of BlackRock, is a global leader in alternative assets data and intelligence. Preqin is at the forefront of delivering high-quality data, research, and technology solutions that power better investment decisions.
The Company Intelligence (CI) team is central to this mission — transforming fragmented market signals into structured, decision-ready intelligence across companies, deals, and ownership networks.
We are hiring a Research Analyst to help evolve Company Intelligence into a true intelligence capability.
This role operates at the intersection of:
Research & analysis
Private markets domain expertise
AI-enabled workflows
You will work on complex company-level intelligence, including M&A activity, ownership structures, deal events and investment relationships.
Role & Responsibilities
1. Research & Intelligence Development
Conduct deep secondary market research
Build structured intelligence across:
Company profiles
Ownership relationships
Investments and deals
Valuations and corporate events
2. Complex Deal & Ownership Analysis
Interpret:
M&A transactions
Investment rounds
Ownership changes
Corporate restructuring
Apply judgement under ambiguity, including:
Conflicting information across sources
Partial or incomplete disclosures
3. Companies Expansion
Identify and onboard new private market companies
Establish:
Investor relationships
Fund linkages
Ownership networks
Ensure relevance within the broader private markets ecosystem
4. AI-Enabled Research & Productivity
Use:
Copilot and research agents
AI-assisted discovery tools
Internal knowledge platforms
Drive:
Faster research cycles
Better source comparison
Improved productivity
5. Data Quality, Audit & Collaboration
Resolve:
Data inconsistencies
Coverage gaps
Conflicting records
Maintain:
Data Quality, Data Validation and Final outputs.
Evidence-backed documentation
Collaborate with:
Global Data, Product, and Engineering teams
Required Qualifications
Education
Post Graduate or BTech with excellent academic record.
Experience
Minimum 18 months of relevant experience, such as:
Research
Financial/market data
Private markets / deals / ownership
Business intelligence
Core Capabilities
Strong primary-source research skills
Ability to interpret:
Structured + unstructured data and announcements
Ambiguous and conflicting information
Understanding of:
Private markets ecosystem
Deal lifecycle and ownership structures
Tools & Technical Skills
Excel, Office 365, SharePoint
SQL / Python (preferred)
Exposure to:
AI-assisted research tools
Prompt-driven workflows
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.
About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.
