Fraud Data & Technology Analyst

United Community Bank•Greenville, SC

5d•$49,972 - $76,958•Onsite

About The Position

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.

Requirements

Bachelor's degree or higher preferred
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 (e.g., Tableau, Power BI, etc.).
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 & credit check

Nice To Haves

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 in a clear and concise manner to both 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 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.
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.
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.
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.
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.