Private Equity Intelligence Analyst - Lenders

Who are we?

Gain is the Private Markets Super App, a connected global platform transforming how leading investors, advisors, and corporates source, evaluate, and execute deals. By combining investment-grade intelligence, AI-powered workflows, and proprietary data in one unified platform, Gain enables top deal teams to move faster, reduce risk, and build conviction with confidence.

Gain is trusted across more than $3 trillion of private capital, used by 100% of MBB and Big Four firms, and by 80% of the world’s top 20 M&A advisory houses.

Recognized for fast innovation and impact, Gain has been named both US and EU Data Provider of the Year by PE Wire, awarded Global Financial Market Review’s Best Use of AI in Finance, and ranked in Sifted’s Top 100 Fastest-Growing Companies, the Forbes 1000, and the Deloitte Technology Fast 50. Gain operates globally with offices in New York, London, Amsterdam, Frankfurt, Warsaw, and Bangalore.

What will you do?

As an Analyst in the Lenders Team within the Private Equity Intelligence group, you will play a key role in building and scaling Gain’s global lenders and private credit data offering. You will work across direct lending, broadly syndicated loans (BSL), business development companies (BDCs), middle-market lending, and other credit instruments, combining financial research and data analysis to build accurate, comprehensive, and scalable datasets.

Your responsibilities will include:

• Research and maintain lender, credit, borrower, and financing data across global private credit and leveraged finance markets.

• Analyze lender portfolios and credit facilities, including debt quantum, pricing, spreads, reference rates, maturity, issuance dates, loan types, and other key credit terms.

• Research and extract credit information from annual reports, regulatory filings, company websites, lender disclosures, SEC filings, and other financial sources.

• Support the extraction and validation of BDC, BSL, middle-market loan, and corporate bond data.

• Support fund and strategy mapping, including linking credits and assets to relevant lending strategies and funds where applicable.

• Work closely with the Product and Tech teams to identify data and product improvements and help translate research requirements into scalable solutions.

• Use AI and GenAI tools to accelerate credit research, document extraction, entity identification and data validation. Experiment with prompts and workflows to improve research efficiency and quality and help identify opportunities to automate repetitive lender and credit-data tasks.

• Use financial markets and credit knowledge to support Junior Analysts with complex queries, research decisions, and data-quality questions.