selffinancial · Austin, TX
Skills: Python
About Self Financial Self Financial is a venture-backed, high-growth FinTech company with a mission to increase economic inclusion and financial resilience by empowering people to build credit and build savings. We challenge the status quo of the credit industry by giving people accessible tools to take control of their credit, with a focus on the 100 million+ Americans who have no or low credit. We're looking for people who share our passion, tackle challenges, find solutions, and make the financial space better for the communities we serve. Title Staff Data Scientist Team Credit Analytics . Builds the predictive models that drive our credit and lending decisions. We turn deep knowledge of our data into models that are deployed in production, and we work closely with Risk, Finance, Product, and Engineering to improve how we underwrite, price, and manage our customers’ credit. Location: Austin, TX Work Arrangement: Austin – Hybrid or Remote About the Role You’ll build the models, take them into production, and show what they changed for the business. We’re a small company, so you’ll wear many hats and work with engineering to put your models into our decisioning engine. We care less about “here’s the model and here’s what it does” and more about the dollars and percentages it moved, the context behind it, and how clearly you explain it. What you’ll do: Design, build, and validate predictive models in Python that inform credit and lending decisions Partner with engineering to deploy models into our decisioning engine and monitor them after launch Dig into the data to understand why a model behaves the way it does, and keep digging until the answer holds up Measure and communicate the business impact of your work in dollars and percentages Work with Risk, Finance, Product, and other stakeholders to turn business questions into modeling problems and recommendations Evaluate and work with the data vendors and tools we use Set the technical bar for the team through code…
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