SoFi is looking to solve the problem of fraud risk in their financial services platform by developing better data-driven fraud decisioning and implementing rules to help realize a safer, more transparent, and secure environment for their members.
Requirements
- Strong expertise in analyzing large datasets using SQL/Python and other statistical analysis packages to drive strategies to balance Member experiences and loss prevention
- 3-8 years of work experience in Risk Analytics Fields, with exposure to account authentication (2FA, MFA, OTP) and/or risk-decisioning procedures
- Highly motivated Fraud Strategy background with ambition to drive change, eager to learn, and able to work collaboratively in a complex and fluid environment
- BA/BS in Statistics, Information Systems, Mathematics, Data Science, or related fields, or equivalent work experience
Responsibilities
- 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
Other
- 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
- Ability to work collaboratively in a complex and fluid environment
- Strong motivation and ambition to drive change
- Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time
