Staff Fraud Analyst

The role

We are searching for a passionate Staff Fraud Risk Analyst who is highly self-motivated, analytical, with a decent understanding of debit card fraud transactions and account takeover fraud strategies. This role will work on fraud strategies at banking transactional stages during customer journey, implement effective fraud strategies 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:

• Architect and scale robust table structures and analytics using expert-level SQL and Python to serve as the foundation for global risk detection and real-time reporting.
• Design sophisticated fraud decisioning strategies by synthesizing login, entity, and tokenization signals to neutralize complex threats like Account Takeover (ATO) and high-risk transactions.
• Lead cross-functional initiatives by translating intricate technical risks into high-level business logic, socialize proposals with stakeholders to align on the optimal balance between security and user friction.
• Optimize detection precision through rigorous statistical analysis, specifically leveraging False Positive Rate (FPR) modeling to protect the "Golden Path" of the customer experience.
• Execute end-to-end risk-decisioning procedures for debit card transactions and authentication frameworks (MFA/3DS), ensuring defense mechanisms are both proactive and scalable.

What you'll need:

• BA/BS in Statistics, Information Systems, Mathematics, Data Science, or related fields, or equivalent work experience
• Expertise in Fraud: 5+ years of work experience in Fraud Analytics. Experience managing risk-decisioning strategies and mitigating losses in debit card fraud transaction flows (ATO, 3DS, CNP, Tokenization) and understanding of sophisticated authentication frameworks, plus with exposure on authentication flows including MFA/IDV
• Balance Friction and Growth: Deep mastery of the trade-off between fraud mitigation and UX, ensuring security strategies protect the business without compromising key conversion and retention metrics.
• Architect Scalable Data Systems: Expert-level SQL/Python skills used to build automated, high-volume data architectures and statistical models that serve as the foundation for global risk detection.
• Drive Strategic Influence: A proactive leader who uses cross-functional persuasion to align stakeholders and own the end-to-end execution of complex initiatives in fluid environments.