Threat Intelligence: AML Risk and Model Oversight

The role

The Threat Intelligence: AML risk and model oversight role will be responsible for enhancing typology coverage assessments 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 drive efficiency and improve threat detection capabilities. Additionally, you will be responsible for developing comprehensive documentation and compliance reports to support regulatory requirements and internal oversight.

What you’ll do:

• Conduct regular independent typology coverage risk assessments to understand current and future threats and inform AML Model Management. 

• Assess and prioritize new typologies based on emerging trends and regulatory developments.

• Work closely with the Model Management team to provide independent oversight. 

• Develop and maintain risk assessment frameworks for evaluating AML typologies.

• Ensure that models are updated to reflect emerging typologies and high-risk behaviors.

• Design proactive detection strategies to identify new patterns of illicit behavior early.

• Report on typology risks and make recommendations for system improvements or new models to address evolving threats.

• Build experimental models utilizing machine learning and statistical modeling methods for supervised and unsupervised learning.

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

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

• Develop production-level reports and executive summaries reviewed by upper-level management, regulatory bodies, and auditors to support decision-making and risk assessment.

• Ensure AML documentation is regularly updated and effectively communicated to relevant stakeholders, including compliance teams and senior leadership.

• Support regulatory exams and audits by providing documentation, analytical findings, and compliance reports as required.

What you’ll need:

• Bachelor’s Degree or Master’s Degree in 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, with a demonstrated ability to produce high-quality reports and compliance documentation.

• Experience producing production-level reports reviewed by senior management and regulatory bodies, with a strong ability to translate data-driven insights into actionable intelligence.

• Experience drafting and implementing compliance documentation, including regulatory reports, model validation documentation, and policy guidelines.

• 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.

• 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