Threat Intelligence: AML Investigation Support

The role:

The Threat Intelligence: AML Investigation Support role will be responsible for contributing to complex investigations and optimizing the AML program through cutting-edge analytic tools and techniques. In this position, you will support the AML department by conducting in-depth data analysis, pulling key insights, and leveraging advanced technologies to support complex and special investigations using data and quantitative methods. 

What you’ll do:

• Provide investigative support and conduct AML threat detection utilizing analytical methods and tools covering multiple product lines, including banking, brokerage and lending to ensure sound risk coverage across the enterprise.

• Build data models, tools, and reporting to support these special investigations. 

• Apply investigative techniques used in law enforcement or military intelligence to financial crime cases, strengthening the ability to identify money laundering, terrorist financing, and other illicit transactions.

• Perform ad hoc data pulls and complex data analysis to support investigations into suspicious activities and financial crime cases.

• Use advanced data mining techniques to identify patterns, anomalies, and potential red flags across large datasets.

• Provide actionable intelligence to investigators, aiding in the identification of potential money laundering activities, terrorist financing, and other illicit financial transactions.

• Collaborate with law enforcement agencies, regulatory bodies, and government organizations to share intelligence, enhance AML investigation tactics, and align with national security objectives.

• Contribute to the continuous optimization of the AML program by identifying opportunities for improvement in processes, tools, and workflows.

• Explore and implement new analytic tools and technologies (e.g., machine learning, artificial intelligence, large language models) to enhance the detection and prevention of money laundering activities.

• Work with technical teams to integrate new analytical techniques into existing systems, improving efficiency and predictive capabilities.

• Provide regular updates on threat intelligence findings, ensuring all stakeholders are aware of the evolving risks and necessary responses.

• Develop reports and presentations on threat intelligence findings, ensuring that they are clear, actionable, and tailored to different audiences, including senior leadership and regulatory bodies.

What you’ll need:

• Bachelor’s Degree or Master’s Degree in Criminal Justice, Law Enforcement, Intelligence Studies, Statistics, Computer Science, Mathematics, Finance, Engineering, or other relevant fields.

• 7+ years of experience in the finance industry focusing on BSA/AML, OFAC, or fraud modeling/analytics. 

• Experience working with law enforcement, government agencies, military intelligence units, or national security teams in an investigative or analytical capacity.

• Understanding of law enforcement intelligence-gathering methodologies and their application to financial crime investigations.

• Familiarity with Suspicious Activity Reporting (SAR) writing, case management systems, and regulatory requirements for AML investigations.

• Statistical/data analytical skills, including data quality validation, and predictive modeling experience in SQL, R and/or Python. 

• Knowledge of and ability to leverage traditional databases, cloud-based computing, and distributed computing. 

• Proficiency in data analysis and investigative tools, with experience pulling, analyzing, and visualizing large datasets from various sources.

• Strong problem-solving skills, with the ability to distill complex data into clear, actionable intelligence.

• Experience analyzing illicit financial activity related to human trafficking, drug smuggling, fraud schemes, terrorist financing, or organized crime.

• Excellent written and verbal communication skills, with the ability to present findings and insights to both technical and non-technical stakeholders.

• A proactive approach to learning and staying up-to-date on industry trends, emerging threats, and innovative technologies.

• Knowledge of AML regulations and the USA PATRIOT Act.

• Familiarity with regulatory guidance on Model Risk Management (Federal Reserve SR Letter 11-7, OCC Bulletin 2011-12, FDIC FIL 22-2017, DFS504)

• Experience with data visualization (e.g., Tableau)

• Experience with cloud data infrastructure  (e.g., Snowflake)

• Experience with automated transaction monitoring (e.g., Verafin)

• Experience with customer/transaction screening (e.g., LexisNexis)

• CAMS certification preferred