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Salary
$14k – $32k per year (Estimated)
Location
Remote/Hybrid (Bengaluru, India)
Seniority
Junior · 2+ years exp
Overview
Company
Impact
Profile match

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 $1 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.

Requirements

What are we looking for?

  • 6 months - 2 years of experience in private credit, leveraged finance, fixed income, private equity, investment banking, financial research, or financial data.
  • Strong understanding of credit markets and debt instruments, with exposure to areas such as direct lending, BSL, BDCs, leveraged loans, bonds, or CLOs being a strong advantage.
  • Strong financial research and analytical skills, with the ability to interpret annual reports, regulatory filings, financial statements, lender disclosures, and credit-related documents.
  • Strong attention to detail and a demonstrated ability to work with large, structured datasets while maintaining high data accuracy.
  • Comfortable working with Excel/Google Sheets, data platforms, and other research or data tools.
  • Ability to identify patterns and inconsistencies across datasets and apply clear, consistent decision-making and methodology.
  • Strong ownership mindset, with the ability to independently manage projects and deliver against deadlines and quality targets.
  • Proactive, self-driven, and comfortable working in a fast-paced, high-accountability environment.
  • Interest in helping build a new product and data vertical from an early stage, rather than simply executing predefined research tasks.

What do we offer?

  • Competitive base salary with annual performance-linked bonus
  • Ownership from day one, with a coaching-driven approach to career progression
  • Flexible hybrid working model across global teams
  • Culture built on trust, accountability, and excellence
  • Regular team events and recognition of individual impact
  • Opportunity to work at the intersection of private markets, financial data, and technology
  • The opportunity to help shape and scale Gain global Lenders product as the platform expands its coverage across private credit and other financial markets

Does this sound like a perfect match?

We are proud of our wonderful product and believe it has lots of potential. We are growing fast and having fun while building our platform and company. Does this sound like a team you would like to become a part of? we are excited to get to know you and show you what we do!

Gain.AI B.V., with its registered seat in Apollolaan 151, 1077 AR Amsterdam, The Netherlands, or another Gain.AI or Gain.pro entity which runs the recruitment process, further called „Gain", is the controller of personal data you submit as part of the job application. Your personal data will be processed for the purpose of conducting a recruitment process for the job position you apply for. If you provide Gain with explicit consent, your personal data will also be processed for the purpose of conducting future recruitment processes. Please read the Gain Privacy Policy to acquaint yourself with how Gain processes your personal data: https://www.gain.ai/privacy-and-cookie-statement

Gain is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, disability, veteran status, or any other legally protected characteristics.

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