Quantitative Model Analyst - AML

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NOTE:
This position is not eligible for current or future visa sponsorship.

This role is an individual contributor position within the Bank’s Enterprise Financial Crime Compliance (EFCC) organization. The person in this role will join a team of Financial Intelligence Unit (FIU) analysts which focuses on the ongoing monitoring, testing, and governance of AML Transaction Monitoring models.

The individual will partner closely with model owners, Model Risk Management, internal and external auditors, and senior leadership to evaluate model behavior, identify emerging risks, and support enhancements to AML monitoring capabilities across the enterprise. This team is integral to maintaining and enhancing the Bank’s Anti-Money Laundering Transaction Monitoring systems.

The ideal candidate for this role should possess a strong eye for code review, thorough understanding of model risk, previous experience with BSA/AML monitoring tools, and be familiar with SAS, SQL, and Python. Moreover, candidates should demonstrate robust skills in data science, model evaluation, and documentation of findings.

This individual is expected to be highly self-driven, well-organized, and efficient in time management, capable of handling multiple tasks ponsibilities include performing ongoing monitoring and performance assessments of AML Transaction Monitoring models, conducting comprehensive code reviews and code change assessments, and executing below-the-line testing of model thresholds. Each task requires comprehensive, well‑structured documentation of analyses and conclusions such that work can be independently understood, reviewed, and defended without additional explanation.

• Execute and document periodic testing, validation support, and performance reviews in alignment with regulatory expectations and internal risk standards.
• Review and challenge model behavior, limitations, and assumptions; identify potential control gaps and recommend remediation actions.
• Conduct comprehensive code reviews and code change assessments for AML Transaction Monitoring models to ensure alignment with documented intent, coding standards, and regulatory requirements.
• Provide clear, constructive feedback to model and code owners, supporting effective issue resolution and continuous improvement.
• Maintain and enhance internal tracking tools supporting code review and governance activities.
• Assess model threshold & sampling soundness through Below‑the‑Line (BTL) reviews and support ongoing calibration decisions
• Prepare and present materials for audiences including senior leadership, Model Risk Management, Corporate Audit, and regulatory partners.

• Bachelor’s degree in a quantitative field, and five or more years of relevant experience.
• MA/MS in a quantitative field, and three or more years of related experience.
• PhD in a quantitative field, and less than two years of related experience.

• Experience working with quantitative models, analytics, or monitoring frameworks in a regulated environment.
• Proficiency in SAS, SQL, and Python for data analysis, testing, and automation.
• Strong analytical skills with attention to detail and the ability to evaluate complex model behavior.
• Experience supporting AML/BSA Transaction Monitoring systems or financial crime detection tools. Understanding of AML best practices and regulatory expectations.
• Ability to work independently while managing multiple priorities in a fast‑paced environment.
• Ability to clearly communicate (verbally and in writing) model performance, risks, and recommendations, tailoring technical…