About the role
About Finosu
Finosu is an AI-native loan servicer. What is that? A servicer handles the communications and payment rails for lenders. The servicing industry services over 10 trillion dollars of debt a year.
Loan servicing is the perfect application for AI. Borrowers want help on their time, not during call center hours, and AI makes 24/7 support real for the first time. It also makes compliance better, not worse: every interaction follows the rules, every disclosure is delivered, and everything is logged and auditable. What makes us different is how we measure success. We are not judged on generic CSAT scores. We are judged on dollars generated for our lenders, and it turns out the two go together: borrowers who are treated well perform better.
We know this problem because we lived it. Our founders built a $200M consumer lender together, owning the end-to-end stack from origination through servicing and collections. We felt every broken part of it firsthand: the vendors that didn't care about outcomes, the compliance gaps, the borrowers who fell through the cracks. So we are building the thing we wished we had.
Things to Know
We are a start-up and our processes are in flux. Priorities might shift more abruptly than at a more establish company.
- We’re in office, we have found that collaboration especially in a context-rich field is important
- You will own the data architecture for a platform handling millions of loan balances and millions of LLM-driven borrower interactions.
About the Role
This is a unique role in that we are looking for a data engineer with strong analytical and product mindset. An ideal candidate would come up with hypothesis and create the tooling needed to verify or invalidate their hypothesis. We have a small team of less than 10 people.
In this role
- Define the data strategy and how Finosu collect or leverage data to build a competitive advantage
