Fraud Systems & Data Analyst

1 Member Way, 1 Member Way, Syracuse, New York, United States of America

Posted Monday, January 5, 2026 at 9:15 PM | Expires Thursday, February 5, 2026 at 12:57 AM

The Fraud System & Data Analyst's primary role is to drive strategic insights and data-driven solutions to optimize fraud risk management, enhance profitability, forecast losses, and improve operational efficiency across consumer and business products. This role demands a strong blend of analytical insight and cross-functional expertise, empowering the analyst to lead process enhancements and major initiatives independently. Responsibilities include developing fraud detection models, refining rule-based systems, and leveraging large datasets to uncover emerging fraud trends.

The analyst will also support real-time monitoring, automate reporting, and contribute to system enhancements that improve decision accuracy and reduce operational friction. Collaboration with key stakeholders across Risk, Compliance, Operations and business units is essential to align fraud strategies with broader organizational goals.

Location:

Our headquarters are based in Syracuse, NY. We work in a Hybrid Model requiring a minimum of 5 days in office per month.

Performs complex analysis of financial data, fraud trends and portfolio performance to understand product performance and improve fraud risk, profitability, performance, compliance with laws and regulations, and operational performance.

Develop and manage Key Risk Indicators and Key Performance Indicators for fraud performance against products and channels.

Oversee Operations metrics for risk and performance ensuring accuracy and timeliness.

Identifies trends based on metrics and portfolio performance and reports them to management.

Supports execution of large-scale projects, or new project integrations, by conducting advanced reporting and drawing analytics-based insights.

Leverage insights from data & analytics, industry forums, and channel partners to identify and drive new ideas on improving member experience, operational efficiency, and reducing fraud risk.

Operate and maintain fraud detection software, data mining tools, machine learning platforms, and transaction monitoring systems to effectively identify and prevent fraud.

Develop and implement new processes and solutions to enhance fraud prevention systems and mitigate future risks.

Collaborate with team to discuss new and emerging fraud trends

Conduct root cause analysis to identify vulnerabilities and recommend improvements

Partners across organization lines including Operations, Lending, Technology, Risk & Compliance in the development of risk and performance strategy.

Translate complex findings into clear, actionable recommendations for key stakeholders.

Develop compelling vision and data driven business cases for transformation initiatives.

Including but not limited to department administrative responsibilities.

Maintain up-to-date knowledge of trends and developments in fraud detection.

Extended work hours may be required.

See Dayforce (HRIS) for performance goals upon hire & annually.

• Minimum of 3 years' experience in analytics and managing risk.
• Experience with U.S. banking laws and regulations applicable to a federal credit union and its applications to ensuring the safety and soundness of Credit Union staff and member assets.
• Knowledge of automated fraud monitoring, investigative case management or related financial services industry fraud monitoring tools and applications.
• Knowledge and general understanding of principal financial institution regulations.
• CFE or equivalent certification preferred.

Bachelor's degree in quantitative field or equivalent work experience required.

Work involves much personal contact with others inside and/or outside the organization for the purpose of first-level conflict resolution, building relationships, and soliciting cooperation. Discussions involve a higher degree of confidentiality and…