Senior Analyst, Operations- Fraud Investigations
About The Position
The Senior Analyst, Operations protects platform integrity during onboarding by analyzing identity and behavioral data to detect, investigate, and prevent fraud. This role designs and evaluates fraud signals and rules, balances risk reduction with user friction, and identifies emerging identity misuse patterns such as stolen or unverified PII. The analyst partners closely with Product, Engineering, Legal, and Operations to implement scalable, defensible fraud controls, measure effectiveness through data-driven insights, and continuously adapt prevention strategies to evolving fraud threats—all while prioritizing customer safety and trust. The Digital Identity Fraud team applies advanced data analytics to develop and refine fraud-prevention strategies during user onboarding. The team focuses on identifying and prioritizing actionable insights from identity verification and behavioral data to confirm legitimate identities and disrupt fraudulent activities. By detecting and addressing attempts involving stolen, synthetic, or unverified information, the team plays a critical role in maintaining a secure and trustworthy marketplace. Collaboration across functions ensures effective operational processes and continuous improvement, supporting the protection of customers and the integrity of the platform.
Requirements
- Ability to analyze large datasets, develop and validate fraud signals, and balance detection accuracy with false‑positive risk using tools like Excel and SQL.
- Solid understanding of identity verification workflows, including document checks, biometrics, behavioral, and device signals, plus KYC and privacy considerations.
- Proven ability to clearly translate analytical findings into actionable insights and defensible decisions supported by strong documentation.
- Curious, adaptable, adversarial thinker with strong risk judgment and a preference for scalable, data‑driven prevention over reactive enforcement.
- Bachelor’s degree in Criminal Justice, Cybersecurity, Finance, Business, or related field OR equivalent work experience
- 2+ years of experience in fraud detection, risk analysis, investigations, banking operations, cybersecurity, or related field
- Experience with SQL, Tableau, or data visualization/reporting tools
- Experience reviewing suspicious transactions, account activity, identity verification documents, or fraud alerts
- Knowledge of identity theft, account takeover, payment fraud, synthetic identity fraud, and fraud prevention practices
- Familiarity with fraud monitoring tools, case management systems, and data analysis platforms
- Strong analytical and problem-solving skills with attention to detail
- Ability to identify patterns, trends, and anomalies in large data sets
- Experience conducting investigations and documenting findings clearly and accurately
- Strong written and verbal communication skills
- Ability to handle sensitive and confidential information professionally
- Proficiency with Microsoft Office Suite, especially Excel
- Ability to work in a fast-paced environment and manage multiple investigations simultaneously
- Bachelor’s degree in Business Administration, Engineering, Operations , or related field OR 2 years’ experience in operations, project management, or related area.
Nice To Haves
- Experience with BI tools, fraud platforms, graph analysis, or relevant certifications.
- Experience detecting fake identifications
- Experience in financial services, e-commerce, retail fraud, or cybersecurity environments
- Certifications such as CFE, CAMS, or cybersecurity-related credentials
- Master's degree in Business Administration, Engineering, Operations , or related field, Project Management Certification
- Masters: Business Administration, Masters: Computer Engineering, Masters: Operations Management
- Project Management - Project Management Professional - Certification
Responsibilities
- Leverage identity verification and behavioral signals to surface, analyze, and prioritize fraud risks during driver onboarding, focusing on customer safety and platform integrity.
- Analyze onboarding risk outcomes across rule-based and vendor-based checks, including identity verification steps that ingest applicant-provided PII and document-extracted signals.
- Build and tune fraud-rule logic across multiple onboarding checkpoints, aligning controls to funnel stages (e.g., fundamental PII checks; identity verification pass/PII match; background/doc compliance).
- Measure and communicate rule performance using defined KPI concepts such as withdrawal count, withdrawal rate, and stage conversion rates, identifying where rules drive prevention impact vs. friction/churn.
Benefits
- Competitive pay
- Performance-based bonus awards
- Medical coverage
- Vision coverage
- Dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- PTO (including sick leave)
- Parental leave
- Family care leave
- Bereavement
- Jury duty
- Voting leave
- Short-term disability
- Long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes
- Walmart-paid education benefit program (Live Better U) for full-time and part-time associates
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What This Job Offers
Job Type
Full-time
Career Level
Senior
