See what are your chances of getting this job! About the role
Overview
We seek a talented individual to build and improve the adaptive decision systems behind Credit, our leading undercollateralized lending system. You'll design models that learn borrower behavior over time and make optimal lending decisions under uncertainty.
Skills
Candidate requirements
These are the minimum requirements a candidate must meet to be considered for this role.
- Graduate degree in a quantitative field such as mathematics, physics, or computer science.
- Very strong foundations in probabilistic modeling and Bayesian inference.
Statistical Machine Learning Researcher
Credit is a financial technology company dedicated to making credit accessible to underserved populations worldwide.
Last updated 2026-02-27T06:03:01.77Z
Overview
We seek a talented individual to build and improve the adaptive decision systems behind Credit, our leading undercollateralized lending system. You'll design models that learn borrower behavior over time and make optimal lending decisions under uncertainty.
Salary
Competitive Salary
Location
San Francisco, United States
OnsiteDepartment
Data
Level
Mid-Level
Skills
Overview
We seek a talented individual to build and improve the adaptive decision systems behind Credit, our leading undercollateralized lending system. You'll design models that learn borrower behavior over time and make optimal lending decisions under uncertainty.
Skills
Candidate requirements
These are the minimum requirements a candidate must meet to be considered for this role.
- Graduate degree in a quantitative field such as mathematics, physics, or computer science.
- Very strong foundations in probabilistic modeling and Bayesian inference.
About Divine
Credit is a pioneering financial technology company focused on providing accessible credit solutions to underserved populations globally. With a mission to make credit a human right, not a privilege, Credit leverages innovative trust-building mechanisms instead of traditional verification methods. Their platform has already empowered over 20,000 users in Argentina, allowing them to access essential goods and services despite the challenges posed by conventional banking systems. By prioritizing performance and user experience, Credit aims to serve millions who are currently excluded from financial services.
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