Financial Crime

• 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.

Manager, Fraud Detection and Analytics

• Develop, enhance, and maintain AML compliance models and transaction monitoring scenarios
• Apply data science, statistical modeling, and machine learning techniques
• Support AML compliance initiatives through model development, tuning, and alert reduction strategies
• Perform advanced data analysis using SAS, SQL, and Python
• Design and execute complex SQL queries and data extraction activities
• Develop Python-based automation scripts and analytical solutions
• Execute model testing activities
• Collaborate with Compliance, Technology, Model Risk, and Business teams
• Create and maintain technical documentation and testing evidence
• Work within Agile delivery methodologies

AML Compliance Model Developer – Associate

• Serve as the primary point of contact for new client onboarding, ensuring timely and accurate completion of all onboarding deliverables within the demanding timelines of the syndicated loan market
• Provide end-to-end oversight of the onboarding process across multiple clients, in line with internal policies and regulatory standards
• Review and interpret client legal, financial, and entity documentation to support onboarding approvals
• Lead client-facing onboarding discussions, providing clear status updates and proactively managing risks or escalations before they impact deal timelines
• Identify process gaps or inefficiencies within onboarding workflows and collaborate with stakeholders to implement improvements, recognising that in this market, workflow friction has a direct cost
• Build strong working relationships with internal teams (Operations, Legal, Compliance, Technology) to ensure seamless onboarding execution
• Provide day-to-day oversight, guidance, and quality assurance for a Junior Analyst supporting onboarding activities
• Rapidly develop expertise in internal systems, tools, and client-specific onboarding requirements

Senior KYC/Onboarding Lead – Syndicated Loans

• Analyze alerts, investigate potential money laundering, terrorist financing, and sanctions risks.
• Ensure compliance with applicable U.S. and international regulatory requirements, including OFAC, BSA/AML, and related global sanctions regimes.
• Provide independent Second Line of Defense compliance advice, support, and oversight to the US business units.
• Review and investigate AML and sanctions alerts generated through screening systems.
• File Suspicious Activity Reports (SARs) with FinCEN, ensuring accuracy, completeness, and timely submission.
• Prepare and submit OFAC Blocked Property and Rejected Transaction Reports, ensuring accuracy, timeliness, and full compliance.
• Maintain awareness of regulatory developments and emerging financial crime risks.
• Assist with enhanced due diligence (EDD) reviews of new and existing clients.
• Provide ongoing support to Compliance teams and cross‑functional workstreams.

Financial Crime jobs in Massachusetts

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Manager, Fraud Detection and Analytics

AML Compliance Model Developer – Associate

Senior KYC/Onboarding Lead – Syndicated Loans

Anti-Money Laundering and Sanctions Analyst