Senior Fraud Model Analyst

EverBank • Charlotte, NC

3d

About The Position

The Senior Fraud Model Analyst role is technically skilled and detail-oriented
to support the development, testing, and optimization of fraud detection models
across various third-party platforms. This role requires a drive to apply data
skills in fraud risk management while working with advanced technologies,
behavioral biometrics, and device profiling tools. Prior experience or strong
aptitude in data analytics and fraud detection to contribute to model
performance improvements and fraud prevention strategies.

Requirements

• 5+ years of experience in Fraud Risk Strategy Optimization within the banking and financial services industry, with a strong focus on reducing fraud losses and improving detection efficiency.
• Proficient in SQL and Microsoft Excel, with hands‑on experience building queries, dashboards, and data-driven reports to support strategic decision-making.
• Strong data literacy, including the ability to analyze complex datasets, interpret trends, identify anomalies, and ask critical questions to challenge assumptions and improve outcomes.
• Proven success collaborating with cross-functional teams, including operations, analytics, compliance, and technology partners, to drive fraud strategy enhancements.
• High adaptability in fast-paced environments, consistently delivering high-quality results while managing multiple priorities.

Nice To Haves

• Previous experience with data visualization tools such as Tableau and/or Power BI preferred, with the ability to translate complex data into clear, actionable insights.

Responsibilities

• Assist with designing, testing, and tuning third party fraud models in platforms like Actimize, Lexis, etc.
• Participate in internal training focused on fraud risk modeling, machine learning, and advanced analytics tools.
• Conduct data extraction, cleansing, and analysis to support model performance evaluations.
• Leverage data from behavioral biometrics and device profiling to enhance fraud detection accuracy.
• Analyze and report on model KPIs, including detection rates, false positives, and fraud loss impacts.
• Maintain technical documentation of model configurations, logic changes, and validation results to support audits and reviews.
• Work with third-party data sources like LexisNexis Risk Solutions to inform model risk scoring.
• Support integration and testing of behavioral biometrics and device assessment tools into model workflows.
• Partner with Fraud Model Owners, Data Scientists, IT, and Fraud Operations to ensure model integrity and effectiveness.
• Stay updated on fraud trends, evolving fraud techniques, and new fraud prevention technologies.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed