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Data Engineer

Finosu· Engineering
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Hybrid (New York, NY)$150k - $200kFull-timePosted 3mo ago

About the role

Data Engineer role at Finosu, an AI-native consumer loan servicer. Own the data architecture for a platform handling millions of loan balances and millions of AI-driven borrower interactions. Focus on data strategy, experimentation, and enabling fast data access for live interactions.

Responsibilities

  • Define the data strategy and how Finosu collect or leverage data to build a competitive advantage
  • Closely report to the founders about the results of the experiments
  • 30/60/90 plan: evaluate communications strategies, run AB tests with AI agents, evaluate and develop data analysis stack and data warehouse options, design indexing/retrieval for <200ms LLM queries during live voice interactions
  • Architect and potentially rearchitect data schema for reporting and analytics
  • Self-serve analytics
  • Own data architecture for a platform handling millions of loan balances and millions of LLM-driven borrower interactions

Qualifications

  • 3+ years of experience
  • Strong analytical and product-minded data engineer
  • Ability to propose and test hypotheses with tooling to verify outcomes
  • Product-minded and data-minded with aptitude for rapid learning and measurement of data-driven outcomes

Skills

Required:Amazon Web Services (AWS)Google CloudKubernetes
Last updated Aug 26, 2026. Interested? Apply on the company site.
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About Finosu

AI Native Consumer Loan Servicer

Hi - Mark and Gab here! We met while working at Alt, a marketplace for collectibles, where we built a $200 million specialty finance business line. At Alt, we faced the complex challenges that come with servicing consumer loans. We spent countless hours and resources developing internal tools to manage loan payments, communicate with borrowers, and keep track of loan performance—all while ensuring a positive experience for our customers. However, after dealing with the headaches of manual data entry, fragmented systems, delayed payments, lack of personalized borrower engagement, and the stress of maintaining accurate records, we knew there had to be a better way to service consumer loans. So, we started Finosu to build the servicer we wish we had—an AI-powered consumer loan servicer designed to streamline and enhance every aspect of the loan servicing process. Our mission is to transform loan servicing into a seamless, efficient, and customer-centric experience. The operational cost of servicing loans reaches into the tens of billions a year and that is money out of the pocket of lenders, borrowers, investors, and ultimately the consumers as a cost of doing business – we are changing that.

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