Straightforward process and the recruiter was good. However, I got the feeling the some of the data science leads have no modeling experience from a quantitative perspective. I also looked into their profiles and turns out they spent significant amount of time at some other banks as analysts and got promoted to manager and then joined here. The interviewer was unfamiliar with lots of the modeling and statistical stuff and using naive terms to talk about credit risk and fraud models (Stuff we learn in school). Overall easy questions I would say. Basic stuff about ML models - metrics, model evaluation, some monitoring questions. I guess the interviewer was expecting the answers we get when we Google such questions rather than what we use in industry. Summarizing - Questions felt more like at analyst level rather than a matured senior data scientist level. Note to Prosper - If you want to improve your products, put the people who have experience in experimentation and modeling in charge of data science teams rather people with business side experience of stuff. Looks at how your competitors are building their DS team and getting way better results and outperforming you. You are investing but probably not in the right people. Good luck!