Threat Intelligence AML Investigation Support
Threat Intelligence AML Investigation Support
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1 Vacancy
Job Description
The role:
The Threat Intelligence: AML Investigation Support role will be responsible for contributing to complex investigations and optimizing the AML program through cuttingedge analytic tools and techniques. In this position you will support the AML department by conducting indepth data analysis pulling key insights and leveraging advanced technologies to support complex and special investigations using data and quantitative methods.
What youll 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 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 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 youll need:
Bachelors Degree or Masters 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 intelligencegathering 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 cloudbased computing and distributed computing.
Proficiency in data analysis and investigative tools with experience pulling analyzing and visualizing large datasets from various sources.
Strong problemsolving 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 financing or organized crime.
Excellent written and verbal communication skills with the ability to present findings and insights to both technical and nontechnical stakeholders.
A proactive approach to learning and staying uptodate 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 117 OCC Bulletin 201112 FDIC FIL 222017 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
Employment Type
Full Time
