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Senior Fraud Data Analyst II*Remote

Remote / Online - Candidates ideally in
California, Moniteau County, Missouri, 65018, USA
Listing for: Lexis Nexis
Remote/Work from Home position
Listed on 2026-03-02
Job specializations:
  • Finance & Banking
Salary/Wage Range or Industry Benchmark: 173300 USD Yearly USD 173300.00 YEAR
Job Description & How to Apply Below
Position: Senior Fraud Data Analyst II*Remote USA
Location: California

Why consider this job opportunity

  • Salary up to $173,300
  • Eligible for an annual incentive bonus
  • Opportunity for career advancement and growth within the organization
  • Comprehensive benefits package tailored to support employee well‑being
  • Collaborative and innovative work environment
  • Chance to make a significant impact on fraud detection and prevention for major industries
What to Expect (Job Responsibilities)
  • Conduct in‑depth investigations of complex fraud cases to identify trends and provide actionable insights for customers
  • Utilize SQL and Python to enhance fraud capture and minimize false positives, delivering executive‑level reports and recommendations
  • Apply effective questioning skills to understand customer fraud requirements and share best practices with stakeholders
  • Present findings and data‑driven stories to external and executive audiences, ensuring clarity for non‑technical individuals
  • Collaborate with various teams to redefine best practices and innovate solutions for complex fraud risks
What is Required (Qualifications)
  • Experience analyzing, identifying, or mitigating fraud in Insurance and/or Healthcare sectors
  • Proven experience investigating financial crimes such as account takeover, card not present, and money laundering
  • Strong analytical skills with proficiency in SQL and Python; a numerical degree is preferred
  • Familiarity with fraud system management tools like Threat Metrix and others
  • Ability to work with large datasets and produce detailed external and executive reports
How to Stand Out (Preferred Qualifications)
  • Knowledge of cybersecurity concepts including browser fingerprinting and device authentication
  • Experience in statistical modeling or graph analysis related to credit risk or fraud detection
  • Exceptional attention to detail and strong critical thinking abilities
  • Proven ability to thrive in a fast‑paced environment with changing priorities
  • Experience working on fraud strategies in large organizations

We prioritize candidate privacy and champion equal‑opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.

We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer.

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Position Requirements
10+ Years work experience
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