Fraud System & Data Analyst; Hybrid in Syracuse, NY

Fraud System & Data Analyst – 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. The role requires a 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 also supports real‑time monitoring, automates reporting, and contributes 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 objectives.

Annual salary range: $75,699.51‑$.

Location:

Syracuse, NY (hybrid model, minimum 5 days per month in office).

• Perform complex analysis of financial data, fraud trends and portfolio performance to improve fraud risk, profitability, compliance 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.
• Identify trends based on metrics and portfolio performance and report them to management.
• Support 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 drive new ideas on improving member experience, operational efficiency, and fraud risk reduction.

• Operate and maintain fraud detection software, data mining tools, machine learning platforms, and transaction monitoring systems.
• 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.

• Partner 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.

• Administrative responsibilities and other ad‑hoc duties.
• 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.

• 3‑5 years of similar or related experience.
• Minimum of 3 years’ experience in analytics and managing risk.
• Experience with U.S. banking laws and regulations applicable to a federal credit union.
• Knowledge of automated fraud monitoring, investigative case management, or related financial services industry tools.
• Knowledge and general understanding of principal financial institution regulations.
• Preferred: CFE or equivalent certification.

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

Requires frequent personal contact with others inside and/or outside the organization for first‑level conflict resolution, relationship building, and soliciting cooperation. Discussions involve high confidentiality and discretion, requiring diplomacy and tact in communication.

• Team player with strong organizational, communication, analytical and PC skills.
• Ability to research/analyze data and recognize/evaluate patterns of member activity.
• Self‑starter with exceptional attention to detail.
• Experience conducting fundamental analysis to understand and quantify financial drivers.
• Strong strategic thinking and problem‑solving skills (ability to frame a…