The role:
We are looking for a Data Scientist and/or Machine Learning model developer to join our Fraud Model Development Team. This team member’s responsibilities include model development and performance monitoring supporting data-driven decision-making in partnership with our Fraud and Risk management teams. The Data Scientist will play a key role in developing Fraud models to reduce loss, minimize false positives and ultimately help SoFi protect our members. These models will apply to all SoFi products and services including Personal Loans, Student Loans, Credit Cards and Crypto.
The Staff Data Scientist will contribute to the performance analysis of SoFi products using empirical measurements, develop quantitative and machine learning models to minimize Fraud losses and provide insights on the drivers for losses. She/He will also collaborate with the Business Units, Finance, Accounting, Operations and Fraud Risk groups. This position requires knowledge of data analytics and modeling using Python and machine learning/analytical packages as well as strong problem solving skills. The ideal candidate should have hands-on knowledge on common Fraud reduction methodologies and excellent knowledge of data science, statistical methodologies and machine learning models (e.g. linear regression, logistic regression, decision trees, gradient boosting, random forests, neural network, clustering analysis etc.).
By joining SoFi, you'll become part of a forward-thinking company that is transforming financial services for the better. We offer the excitement of a rapidly growing startup with the stability of an industry leading leadership team.
What you’ll do:
The Data Scientist will help SoFi develop better data driven modeling solutions by:
What you’ll need:
Nice to have:
Fraud Model Developer • San Francisco, California, United States
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