Fraud

Strong data skills, advanced SQL, they shd be able to search data and get meaningful output

strong Fraud analysis - saas, ecommerce domain exp needed

Snowflake is a must - they will be looking at data which is in snowflake.

Within fraud - account creation fraud, false positives etc

Client is seeking a detail-oriented and proactive Fraud Specialist to join our team as a contractor. In this critical role, you will partner with the Fraud team and help our organization 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.
Your work will directly impact our revenue, customer trust, and user experience by helping ensure that our fraud prevention systems are both effective and efficient.
Responsibilities
Monitor and analyze fraud KPIs. Define, track, and report on fraud metrics including block vs. false positive rates, incoming fraud pressure, recall, fraudtosales ratio, and good user approval rate. Use these indicators to identify trends and gaps, finetune rules, and measure falsepositive 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 machinelearning 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.
Crossfunctional 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.
What You Bring
Basic Qualifications
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, ecommerce, or fintech environment.
Demonstrated ability to analyze large datasets, identify patterns, and drive datadriven 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 casemanagement tools.
Excellent communication and interpersonal skills; comfortable collaborating with diverse teams and presenting insights to executives.
Preferred Qualifications
Familiarity with applying machinelearning 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, PCIDSS).