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Manager, Fraud Detection and Analytics
Job in
Springfield, Hampden County, Massachusetts, 01119, USA
Listed on 2026-07-20
Listing for:
Jobtailor
Full Time
position Listed on 2026-07-20
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist, Data Mining, Data Security
Job Description & How to Apply Below
- Analyze complex datasets to identify risk signals related to cryptocurrency and scams involving money movement.
- Use Python, SQL, and analytical tools to analyze large, complex, and unstructured datasets and extract actionable insights.
- Implement fraud detection strategies in a real-time fraud decisioning engine.
- Support anomaly detection efforts to identify coordinated fraud attacks and organized fraud rings.
- Communicate insights clearly and effectively to influence stakeholders and drive product changes.
- Collaborate across business units to drive data-informed strategies for fraud detection.
- Contribute to the continuous improvement of the fraud detection program, through rule and model refinement, fraud hunting, and data discovery.
- Bachelor's with 5 plus years or Master's with 3 plus years of experience in data analytics, preferably in fraud detection, cybersecurity, or risk domains.
- Strong proficiency in Python and SQL for data analysis and automation.
- Experience working with large-scale datasets and analytical platforms.
- Skilled in using analytics tools (e.g., dashboards, statistical packages, data visualization platforms) and predictive statistics to perform advanced analytics and uncover actionable insights.
- Ability to translate complex data into clear, actionable insights.
- Strong communication and collaboration skills to work across teams and influence decisions.
- Experience in anomaly detection, fraud/scams analytics, or crypto is a plus.
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