Fraud Analyst (San Francisco)

Few Details about the role

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 metricsincluding

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

Bachelors degree in Business, Economics, Data Science, or a related field

5+ years of experience in fraud prevention, trust & safety, or risk managementideally

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