Job Description

The role

We are searching for a passionate Senior Fraud Risk Analyst who is highly self-motivated, analytical, with a decent understanding on account level registration and account takeover fraud strategies. This role will work on fraud strategies at different stages during customer journey, implement rules focusing on entity level risks to help our platform to realize a safer, more transparent and secure environment. This role will work collaboratively with various stakeholders to ensure strategy performances while maintaining a smooth customer experience. 

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 fraud prevention analyst will help SoFi develop better data driven fraud decisioning by:

• Utilize advanced SQL and Python skills to analyze complex datasets and develop robust fraud risk detection strategies


• Architect and maintain efficient data structures to support scalable fraud analytics and reporting frameworks


• Collaborate effectively with cross-functional stakeholders, translating technical insights into strategic business recommendations


• Apply foundational statistical concepts, including false positive rate analysis, to optimize fraud detection accuracy


• Analyze various types of signals such as login level, entity level data to enhance risk modeling and identify fraudulent activity patterns


• Demonstrate strong ownership and project management capabilities to deliver precise, timely, and impactful results

What you’ll need:

• BA/BS in Statistics, Information Systems, Mathematics, Data Science, or related fields, or equivalent work experience 


• 3-8 years of work experience in Risk Analytics Fields, with exposure to account authentication (2FA, MFA, OTP) and/or risk-decisioning procedures


• Strong expertise in analyzing large datasets using SQL/Python and other statistical analysis packages to drive strategies to balance Member experiences and loss prevention


• Highly motivated Fraud Strategy background with ambition to drive change, eager to learn, and able to work collaboratively in a complex and fluid environment

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