Fraud Data & Technology Analyst: Rules Optimizer

United Community Bank; Greenville (SC); On-site; USD 49,972 - 76,958; Full time

Job summary

United Community Bank offers an opportunity for a Fraud Data & Technology Analyst to drive analytics, reporting, and rule optimization aimed at strengthening fraud detection and customer protection. The role requires collaborating with the Fraud Data & Technology Lead and cross-functional partners to enhance controls and operational effectiveness.

The position is based in Greenville, SC or Blairsville, GA, is full-time, non-remote, with schedule flexibility including evenings and weekends, and

Qualifications

• 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 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.

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 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.

Skills

Fraud platforms

Analytical skills

Cross-functional collaboration

Communication skills

Fraud typologies

ML concepts

Process mapping

APIs / cloud

Data storytelling

Education

Bachelor's degree or higher

Tools

Tableau

Power BI

SQL

Job description

United Community Bank offers an opportunity for a Fraud Data & Technology Analyst to drive analytics, reporting, and rule optimization aimed at strengthening fraud detection and customer protection. The role requires collaborating with the Fraud Data & Technology Lead and cross-functional partners to enhance controls and operational effectiveness.

The position is based in Greenville, SC or Blairsville, GA, is full-time, non-remote, with schedule flexibility including evenings and weekends, and