About Daloopa, Inc.
Daloopa accelerates decision-making for investment professionals by transforming complex financial data into actionable intelligence through AI-powered infrastructure. Founded by Thomas Li, Daloopa automates the extraction, organization, and delivery of deeply sourced, audit-ready financial datasets, enabling clients to update models faster, reduce errors, and focus on higher-value analysis. With innovations like MCP for Financial Services, which connects verified data directly to AI agents and industry workflows, Daloopa is trusted by leading global institutions such as Morgan Stanley and supported by prominent investors.
The Role:
Daloopa's mission is to become the market leader in high-quality, actionable data for the world's top investment professionals. We're judged on three things: coverage, speed, and accuracy. Whether a hedge fund analyst can find the right number, get it quick, and trust it absolutely. The companies in our space (AlphaSense, , Refinitiv, Fiscal.ai and surface." Daloopa is solving ground truth at scale. FinancialReports.eu)
mostly solve "find What makes us different is the loop. Our analysts review, correct, and enrich every extraction from financial documents. Those corrections become training signal for the next generation of our models. Models get sharper. Analysts get faster. Coverage expands, speed compounds, and accuracy keeps climbing in a way LLM-only competitors can't match. That's why Morgan Stanley trusts our numbers, and why this company has a moat.
As a Senior Backend Engineer on the ML side, you'll build the platform that makes the loop work. The systems that turn analyst corrections into structured training signal. The pipelines that move PDFs and HTML filings into model-ready data, route extraction work to humans when models are uncertain, and feed the result back into the next training cycle. The domain spans every public market, every accounting convention, every reporting nuance across geographies, an
📌 Senior Backend Engineer (Noida)
🏢 Daloopa
📍 Noida