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UC
United Community Bank
Fraud Data & Technology Analyst
Career Insights for Technical Consultant / Analyst
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Scorecard
Based on South Carolina data
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What they do
A Technical Consultant or Analyst provides information technology consulting services to businesses and organizations. Advises or manages installation or expansion of computer network systems; provides problem-solving assistance and staff training with new systems. May work independently or as part of a consulting team.
$98,765 / year median in South Carolina
-18% projected decline
Job Description
Overview The Fraud Data & Technology Analyst drives data-informed decision-making through analytics, reporting, technology support, and rule optimization. This 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. This position is available in Greenville, SC and Blairsville, GA. What You'll Do Reporting & Analytics 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 complex 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 initiatives. Fraud Technology Support Support the 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 to ensure technology effectiveness and operational reliability. Partner with internal technology teams, business stakeholders, and vendors to support fraud technology initiatives while documenting business processes, system functionality, and operational workflows for governance and knowledge sharing. Rules & Model Management Tune, calibrate, and optimize fraud detection rules, models, and decisioning strategies to improve detection effectiveness while balancing operational efficiency and customer experience. Analyze rule and model performance through testing, alert reviews, and performance metrics, recommending enhancements to fraud monitoring strategies and detection controls. Data Management Ensure the accuracy, integrity, reliability, and quality of data used in fraud reporting, analysis, and decision-making. Support data governance initiatives through documentation, maintenance of data dictionaries and reporting methodologies, quality validation, issue identification, and adherence to reporting standards. Cross-Functional Partnership 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. Requirements For Success Bachelor's degree or higher preferred 3+ years of experience in fraud analytics, fraud technology or operations, risk management, or a related field.