Quantitative Credit Risk Engineer

A financial technology firm based in California is seeking a talented individual to contribute to the risk engineering behind their lending system.

Below covers everything you need to know about what this opportunity entails, as well as what is expected from applicants.

The ideal candidate should have a strong background in credit risk modeling, with a Master's or Ph.D.

in a quantitative field.

Responsibilities include designing risk models and collaborating with engineering teams.

Exceptional problem-solving skills and expertise in Python and SQL are essential. xsgimln

This role offers a chance to impact hundreds of thousands of users globally.