Fraud Specialist

Job Title:  Fraud Specialist
Job Type:  Contract
Location:  Hybrid in San Francisco (Tuesday/Thursday)
Contract Duration:  6-9 months (will most likely extend)
Target Start Date:  ASAP

About the Opportunity:

Our client, a leader in intelligent agreement management, is looking for a skilled  Fraud Specialist  to join their team for a 6-9 months (will most likely extend) engagement. This project involves monitoring and analyzing fraud KPIs, validating false positives, designing and refining controls, leading incident response, and cross-functional collaboration. This is a high-impact role that requires a self-motivated professional who can hit the ground running and deliver results quickly.

Key Responsibilities & Deliverables:

This role is focused on the successful completion of specific tasks and deliverables. Your responsibilities will include:

• Monitor and analyze fraud KPIs: Define, track, and report on fraud metrics—including block vs. false positive rates, incoming fraud pressure, recall, fraud-to-sales ratio, and good user approval rate. Use these indicators to identify trends and gaps, fine-tune rules, and measure false-positive impacts.
• Validate false positives: Perform manual reviews for flagged trials and purchases, verifying legitimate customers are not incorrectly declined. Work with internal stakeholders to reinstate valid users and gather feedback on user experience.
• Design and refine controls: Test and adjust fraud detection rules, scoring models and machine-learning algorithms to mitigate risk without overblocking. Ensure models maintain high precision and recall while keeping false positives low.
• Lead incident response: Coordinate investigations of fraud alerts and chargebacks, ensuring timely resolution and communication with affected stakeholders. Document root causes and adjust processes to prevent future incidents.
• Cross functional collaboration: Partner closely with Product, Marketing, Engineering, Data Science, Legal, Finance and Customer Support teams to integrate fraud controls into product flows, billing systems and compliance processes.
• Act as the primary point of contact and subject matter expert for all fraud-related matters within the organization.

• 5+ years of experience in a similar role.
• Deep expertise in SQL, Snowflake, and Tableau. This isn't a learning role—you need to be a subject matter expert.
• Demonstrated ability to analyze large datasets, identify patterns, and drive data-driven decisions, and to work autonomously and manage your own time effectively to meet project goals.
• Experience with fraud detection platforms, rule engines and case-management tools, and a deep understanding of fraud typologies (payment fraud, SaaS fraud, friendly fraud).
• Strong communication skills to provide clear and concise status updates to the project team, and comfortable collaborating with diverse teams and presenting insights to executives.

• Bachelor’s degree in Business, Economics, Data Science, or a related field
• 5+ years of experience in fraud prevention, trust & safety, or risk management—ideally within a SaaS, e-commerce, or fintech environment.
• Demonstrated ability to analyze large datasets, identify patterns, and drive data-driven decisions.
• Proficiency in SQL and experience with data tools such as Snowflake and Tableau.
• Deep understanding of fraud typologies (payment fraud, SaaS fraud, friendly fraud) and experience with fraud detection platforms, rule engines and case-management tools.
• Excellent communication and interpersonal skills; comfortable collaborating with diverse teams and presenting insights to executives.

• Familiarity with applying machine-learning models in fraud detection contexts.
• Knowledge of payment processing ecosystems, card networks, and authentication methods.
• Understanding of regulatory and compliance frameworks (e.g., Visa/MasterCard Risk monitoring programs, PCI-DSS).