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Fraud Analyst

2 weeks ago

San Francisco, United States InfoStride Full time

Few Details about the roleIf the following job requirements and experience match your skills, please ensure you apply promptly.Client is seeking a detail-oriented and proactive Fraud Specialist to join our team as acontractor. In this critical role, you will partner with the Fraud team and help our organizationprotect 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.Your work will directly impact our revenue, customer trust, and user experience by helpingensure that our fraud prevention systems are both effective and efficient.ResponsibilitiesMonitor and analyze fraud KPIs. Define, track, and report on fraud metrics—includingblock vs. false positive rates, incoming fraud pressure, recall, fraud‑to‑sales ratio, andgood user approval rate. Use these indicators to identify trends and gaps, fine‑tunerules, 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 internalstakeholders to reinstate valid users and gather feedback on user experience.Design and refine controls. Test and adjust fraud detection rules, scoring models andmachine‑learning algorithms to mitigate risk without overblocking. Ensure modelsmaintain 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 rootcauses 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 controlsinto product flows, billing systems and compliance processes.Act as the primary point of contact and subject matter expert for all fraud-relatedmatters within the organization.What You BringBasic QualificationsBachelor’s degree in Business, Economics, Data Science, or a related field5+ years of experience in fraud prevention, trust & safety, or risk management—ideallywithin a SaaS, e‑commerce, or fintech environment.Demonstrated ability to analyze large datasets, identify patterns, and drive data‑drivendecisions.Proficiency in SQL and experience with data tools such as Snowflake and Tableau.Deep understanding of fraud typologies (payment fraud, SaaS fraud, friendly fraud) andexperience with fraud detection platforms, rule engines and case‑management tools.Excellent communication and interpersonal skills; comfortable collaborating with diverseteams and presenting insights to executives.Preferred QualificationsFamiliarity with applying machine‑learning models in fraud detection contexts.Knowledge of payment processing ecosystems, card networks and authenticationmethods.Understanding of regulatory and compliance frameworks