Financial Crime

• Analyze complex datasets to identify risk signals related to fraudulent debit card transactions.
• Use Python, SQL, and analytical tools to analyze large, complex 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.

Manager, Fraud Detection and Analytics

• Collaborate with data scientists, fraud strategists, and business stakeholders to support and enhance real-time fraud detection strategies.
• Analyze complex datasets to detect patterns and trends related to account takeover and scam-related fraud.
• Use Python, SQL, and other analytical tools to extract actionable insights from large volumes of data.
• Evaluate and optimize vendor and internal tools to improve detection of fraudulent behaviors across digital experiences.
• Support anomaly detection efforts to identify organized fraud rings and coordinated attacks.
• Communicate findings clearly to influence stakeholders and guide fraud prevention strategies.
• Partner with cross-functional teams to develop and refine fraud detection models, dashboards, and reporting tools.
• Contribute to the continuous improvement of fraud analytics capabilities and operational effectiveness.

Senior Manager, Fraud Detection and Analytics

• 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.

• Providing leadership and guidance to other surveillance personnel
• Build positive relationships with business partners in various groups
• Analyze transactions to detect, stop, and call out suspicious activity
• Review high-risk customers and entities based on CDD rule

Lead Analyst, Financial Crimes Digital Asset Surveillance

• Working together with other surveillance personnel is paramount in this role
• Build positive relationships with business partners in various Fidelity groups
• Analyze thousands of transactions daily to detect and stop suspicious activity
• Review 'high risk' customers based on Customer Due Diligence rules from FINCEN
• Conduct and coordinate ad-hoc vetting and research requests as needed

Financial Crime jobs in New Hampshire

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Manager, Fraud Detection and Analytics

Senior Manager, Fraud Detection and Analytics

Manager, Fraud Detection and Analytics

Lead Analyst, Financial Crimes Digital Asset Surveillance

Senior Analyst, Financial Crimes Surveillance