Data Scientist - Fraud Analysis

Location: Austin, TX / Boston, MA / Chandler, AZ / Chicago, IL / Conshohocken, PA / Los Angeles, CA / Miami, FL / New York City, NY / Omaha / La Vista, NE / Plymouth Meeting, PA / San Francisco, CA / San Jose, CA / Scottsdale, AZ / Washington, D.C. / Wilmington, NC

Job Type: Full-Time

Roles & Responsibilities: As a member of the Fraud Analytics team, you will be responsible for identifying, investigating, and mitigating fraudulent activities using advanced data methodologies:

• Core Analytical & Comparison Tasks: Compare outputs of two systems or datasources that should behave the same, isolate the differences, and document rootcauses and thresholds.
• Strategy & ML Collaboration: Investigate suspicious transactions to determine rootcauses. Be comfortable working alongside an ML team and experienced in evaluatingmodel performance.
• Fraud Assessment & System Development: Conduct in-depth assessments onevolving trends (including merchant fraud, first-party, and third-party fraud). Designand implement fraud rules within workflow systems and build comprehensivemonitoring reports.
• Stakeholder Management: Generate high-impact reports and presentations formanagement, outlining risks, incidents, and effective mitigation strategies.
• Cross-Functional Collaboration: Partner with Risk, Operations, and Complianceteams to strengthen the overall fraud prevention ecosystem.
• Market Intelligence: Stay ahead of industry trends, regulatory shifts, and global bestpractices to continuously refine fraud prevention strategies.
• Technical & Professional Skills:
• Domain Expertise: Proven experience in Fraud Mitigation, First-Party Fraud, Transactional Fraud, Merchant Fraud, and Digital Fraud Detection.

Education: Bachelor’s degree in engineering, Technology, Computer Science, or arelated quantitative field.

Experience: 3+ years of dedicated data analytics experience specifically within fraudprevention or risk management. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law.https://www.e-verify.gov/sites/default/files/everify/posters/IER_RighttoWorkPoster.pdf