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 small team of Financial Intelligence Unit (FIU) analysts focused on the Design and Execution team, which oversees change control for transaction monitoring model code and supports modernization projects. This team is integral to maintaining and enhancing the Bank’s Anti-Money Laundering Transaction Monitoring systems. The quality control duties include ensuring that the code accurately reflects its documented intent and identifying any conceptual or technical issues with model design. Modernization projects cover rules-based, machine learning, and artificial intelligence tools, including Generative AI solutions, to support AML/BSA compliance across EFCC.

The ideal candidate for this role should possess a strong eye for code review, previous experience with BSA/AML monitoring tools, and be familiar with SAS, SQL, and Python. Moreover, candidates should demonstrate robust skills in data science and model development/validation. Outstanding applicants will have previous exposure to Generative AI and cloud analytics platforms.

This individual is expected to be highly self-driven, well-organized, and efficient in time management, capable of handling multiple tasks at once. Responsibilities include executing BAU code reviews, such as Code Change approvals and comprehensive Code Reviews of new models, alongside maintaining the team’s internal Access application to facilitate these activities.

Furthermore, as a senior member of the FIU, this person will offer thought leadership and mentor junior team members and colleagues.

Professional communication abilities are essential, as collaboration within the FIU and representation of the team to senior leadership, Model Risk Management, and both internal and external auditors will be required.

Essential Functions:

• Conduct comprehensive code reviews for AML Transaction Monitoring models, ensuring adherence to coding standards and identifying areas for improvement.

• Conduct code change reviews in response to business need to ensure the bank’s risk apparatus is responsive to design changes.

• Provide actionable feedback to code owners in a constructive manner.

• Maintain FIU Design & Execution Code Review Tracker application.

• Identify opportunities for ongoing improvement of code review processes to improve the overall effectiveness and efficiency of the team.

• Provide valuable insights and problem-solving expertise to modernization projects.

• Develop and maintain a strong understanding of industry best practices and regulatory expectations related to AML systems.

• Maintain awareness of financial services related regulatory compliance environments as well as an interest to self-educate on new topics and changing requirements.

• Construct and present materials for audiences including but not limited to senior leadership, model risk management, corporate audit, regulatory and business partners.

Preferred Skills/Experience

• Coding: Proficient in SAS, SQL, and Python; experience with AML/BSA tools.

• Data Science: Strong background in model development, validation, and machine learning.

• Generative AI: Familiar with Generative AI and cloud analytics platforms.

• Regulatory Knowledge: Understand AML best practices and regulatory expectations.

• Attention to Detail: Identify issues in transaction monitoring model code accurately.

• Project Management: Manage multiple tasks efficiently and maintain internal applications.

• Communication and Leadership: Excellent communication; mentor team members; represent to senior leadership and auditors.

• Problem-Solving: Provide insights for modernization projects and improve code review processes.

NOTE:  This role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.