Fraud Data & Technology Analyst
About The Position
The Fraud Data & Technology Analyst drives data-informed decision-making through analytics, reporting, technology support, and rule optimization. The role delivers actionable insights, evaluates fraud trends and program performance, and supports initiatives that strengthen detection, prevention, and mitigation capabilities. Working closely with the Fraud Data & Technology Lead and cross-functional partners, the analyst helps optimize fraud technologies, enhance controls, improve operational effectiveness, and strengthen customer protection. The analyst builds and maintains fraud reporting and analytics; supports fraud-related applications, platforms, and system enhancements; tunes detection rules and models; ensures the quality and governance of fraud data; and partners across Fraud Operations, Risk, Compliance, IT, and business teams. This is a full-time, non-remote position requiring schedule flexibility to work evenings and weekends as needed, with up to 10% travel. The position is exempt and requires passing a criminal background and credit check.
Requirements
- At least 3 years of experience in fraud analytics, fraud technology or operations, risk management, or a related field.
- Hands-on experience with fraud and/or banking platforms.
- Experience with data visualization and reporting tools such as Tableau or Power BI.
- Experience querying and analyzing large datasets using SQL or similar data analysis tools.
- Knowledge of fraud typologies across payments, digital identity, account takeover, and application fraud.
- Strong analytical, problem-solving, and communication skills.
- Demonstrated ability to collaborate effectively with cross-functional teams.
- Must be able to pass a criminal background and credit check.
Nice To Haves
- Bachelor's degree or higher preferred.
- Experience with machine learning concepts or partnering with data science teams.
- Experience creating or maintaining process maps for technical or operational processes.
- Familiarity with APIs, system integrations, or cloud-based data environments.
- Ability to present complex data insights clearly and concisely to technical and non-technical audiences.
Responsibilities
- Build, automate, and maintain fraud KPIs, dashboards, and reports to measure program performance, loss drivers, mitigation outcomes, and emerging fraud trends.
- Analyze fraud data and translate findings into actionable insights, recommendations, and strategic reporting for leadership, operations, and frontline teams.
- Conduct performance assessments, cost-benefit analyses, business case development, and industry research to support fraud strategy, risk identification, and continuous improvement.
- Support administration, maintenance, optimization, and performance of fraud-related applications, platforms, tools, and system enhancements.
- Coordinate and participate in testing, validation, implementation, troubleshooting, issue resolution, and performance monitoring of fraud technology.
- Partner with technology teams, business stakeholders, and vendors on fraud technology initiatives, documenting business processes, system functionality, and operational workflows.
- Tune, calibrate, and optimize fraud detection rules, models, and decisioning strategies while balancing detection effectiveness, operational efficiency, and customer experience.
- Analyze rule and model performance through testing, alert reviews, and metrics, and recommend enhancements to fraud monitoring strategies and detection controls.
- Ensure the accuracy, integrity, reliability, and quality of data used in fraud reporting, analysis, and decision-making.
- Support data governance through documentation, maintenance of data dictionaries and reporting methodologies, quality validation, issue identification, and adherence to reporting standards.
- Collaborate with stakeholders to identify opportunities for process improvements, automation, and enhanced fraud controls.
- Partner with Fraud Operations, Risk, Compliance, IT, and business teams to support fraud mitigation efforts.
- Provide analytical support and subject matter expertise for fraud-related initiatives.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
