<p>We are looking for an experienced Fraud Analyst to join our team on a contract basis in San Francisco, California. This role involves leveraging your expertise in anti-money laundering (AML) and Know Your Customer (KYC), fraud investigation, and transaction monitoring to safeguard our organization against financial crimes. You will play a key role in identifying and mitigating risks, ensuring compliance with regulatory standards, and enhancing fraud prevention systems.</p><p><br></p><p>Responsibilities:</p><p>• Monitor platform sign-ups to detect potential fraudulent activities, including first- and third-party applications.</p><p>• Utilize transaction monitoring tools and rules engines to identify suspicious payment or credit card transactions.</p><p>• Conduct in-depth investigations into flagged activities, documenting findings and recommending appropriate actions.</p><p>• Implement and oversee AML programs, ensuring adherence to regulatory requirements and best practices.</p><p>• Collaborate with team members to refine and optimize fraud detection and prevention systems.</p><p>• Stay informed about emerging fraud trends to proactively address potential threats.</p><p>• Maintain detailed records of investigations and ensure the confidentiality of sensitive information.</p><p>• Provide actionable insights to improve fraud mitigation strategies and compliance efforts.</p><p>• Ensure all processes align with legal and regulatory standards in the financial sector.</p>
<p>We are seeking a detail-oriented and proactive Data Analyst/Fraud Specialist. You will partner with the Fraud team and help protect both our business and our customers. You will blend deep analytical skills with strategic thinking to monitor, investigate, and mitigate fraud risks and keep false positives to a minimum. </p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>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.</li><li>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.</li><li>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.</li><li>Lead incident response<strong>.</strong> 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.</li><li>Cross‑functional collaboration<strong>.</strong> 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.</li><li>Act as the primary point of contact and subject matter expert for all fraud-related matters within the organization.</li></ul><p><br></p>
