Fraud Data Analyst

For our client, we are seeking a Fraud Data Analyst to join the team of a leader in the Enterprise Technology space. This role will turn data into practical insight that improves visibility, decision-making, and business performance. You will partner with business, technical, and operational stakeholders to build reporting, surface trends, and translate analysis into action. The position offers the opportunity to strengthen data-driven execution and help teams focus on the metrics that matter most within a technology-driven environment.Location: Remote - US based candidates only, no visa sponsorship availableCompensation: $104,900 – $174,700 annuallyResponsibilities Review suspicious activity and complex fraud cases Analyze data to build and adjust fraud detection rules Deliver analyses to technical and non-technical audiences, including on-site visits Advise clients on best practices for implementing fraud solutions Maintain relationships with fraud managers and risk analysts Assist clients with proof-of-concept analysesQualifications Quantitative or technical degree required 3+ years managing large customer-facing solutions 3+ years in financial services, banks, or e-commerce 3+ years delivering analytics with Python or R Proficient in SQL and Excel for reporting Willingness to learn new products and conduct root-cause analysis Excellent communication skills for technical presentations Ability to manage multiple priorities in a fast-paced environment Experience in investigating financial crimes like fraud and money laundering Knowledge of cybersecurity concepts including device authentication and browser-fingerprintingBenefits Country-specific benefits for well-being and happiness Access to an annual incentive bonusOur client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.