AML Model Development Lead

Job Title: AML Model Development Lead

Location: Onsite in Boston, MA preferred. Remote work is also available.

Overview: We are seeking an AML Model Development Lead to support a BFS client in North America. The role is focused on Anti-Money Laundering (AML) model development, specifically for transaction monitoring, name matching, watch-list monitoring, and customer risk scoring. You will be part of a centralized advanced analytics team in a banking firm and play a key role in shaping AML models and frameworks while collaborating with business stakeholders, auditors, and model development teams to ensure adherence to governance standards.

Key Responsibilities

• Work with the centralized advanced analytics team to develop AML models for transaction monitoring, name matching, and customer risk scoring.
• Interact with various business units such as risk, finance, and controllership to ensure alignment with AML and Enterprise Modeling Governance standards.
• Provide analytical support for actions to mitigate risk and contribute to decision-making on AML policies and procedures.
• Oversee critical AML applications and ensure their effectiveness in mitigating financial crime risks.
• Assess data quality for model development, providing recommendations to improve data integrity at the source.
• Develop rule-based, statistical, or machine learning-based AML models, fine-tune rules, perform testing and validation, and prepare end-to-end documentation.
• Propose improvements to monitoring systems and address risk and control gaps identified during reviews.
• Coordinate with auditors and model development teams to ensure compliance with regulatory standards and governance practices.
  
  

Minimum Qualifications

• Experience in financial crime, specifically in the AML domain.
• Strong expertise in developing and validating AML models, along with risk management experience related to AML activities.
• Proven statistical modeling experience, including regression, time series analysis, and related techniques.
• In-depth knowledge of data analysis, mining techniques, and the ability to work with large datasets.
• Hands-on expertise in SQL, ETL, SAS, Python, R, and other scripting tools.
• Demonstrated ability to script and automate using SAS/Python/R for AML model development.
• Master’s degree in a quantitative discipline (Statistics, Economics, Finance, or related fields).
• Strong communication and presentation skills, both written and verbal.
• Self-driven, proactive mindset with the ability to manage ambiguity and work independently.
• Strong project management experience, capable of coordinating efforts across multiple business units.
• Ability to lead teams and projects, providing technical guidance and oversight.
  
  

Preferred Qualifications

• Strong networking, negotiation, and influencing skills.
• Prior experience in financial crime, risk assessments, or AML governance.