Compliance Technology Program Lead

Using AI agents such as Claude and similar LLM-based tools to build automation that scales oversight, monitoring, and documentation work, including drafting requirements, exam-ready documentation, data quality monitoring, and ongoing model performance reporting.

Designing human-in-the-loop checkpoints so automated outputs remain defensible to regulators and independent monitors.

Establishing and maintaining model and data governance frameworks aligned with SR 11-7, SR 26-2, and OCC 2011-12, enabling engineering teams to ship defensible models efficiently; providing effective challenge throughout the model development lifecycle and partnering with the BSA/AML Policy Team and CAX stakeholders to keep documentation exam-ready.

Leading the design and development of real-time dashboards to monitor model health, including input data monitoring and ongoing model performance.

Setting standards for threshold tuning and ongoing Below the Line (BTL) testing controls.

Establishing frameworks and triggers to identify when model performance is degrading and requires tuning or deprecation, partnering on subsequent tuning exercises, and ensuring changes stay within risk appetite and are documented defensibly.

Overseeing Transaction Monitoring models, including heuristic and rules-based detection logic, threshold settings (below the line testing), and the data pipelines that feed alerts.

Overseeing blockchain analytics and screening tools (TRM, Chainalysis), with attention to typology coverage, alert quality, and integration with downstream investigations.

Overseeing Sanctions Screening models (LexisNexis), including list management, fuzzy-match tuning, and false-positive reduction.

Overseeing Customer Risk Scoring models, including segmentation logic, periodic recalibration, and effective challenge of risk drivers.

Overseeing the design and validation of AI-driven case resolution — LLM-based and ML-based models that triage, enrich, or disposition alerts — ensuring decisions are explainable, auditable, and defensible to regulators.

7+ years of experience in compliance technology at regulated financial institutions, or as a consultant working with financial institutions.

Hands-on experience building with modern AI tools, including Claude, GPT, or comparable LLM-based agents, with a track record of using them to automate work in production — including prompt engineering, designing agentic workflows, and integrating AI into operational processes.

Experience with both Machine Learning and heuristic models across Transaction Monitoring, Sanctions Screening, and Customer Risk Scoring.

Experience with input data quality monitoring.

Experience with model performance monitoring.

Experience conducting AML model validations aligned with SR 11-7 and OCC 2011-12.

Experience responding to examinations and consent orders, and working with regulators and independent monitors.

Experience with virtual currencies, including the unique transaction monitoring and sanctions screening considerations they present.

Familiarity with blockchain analytics and screening tools such as Chainalysis and TRM Labs.

A track record of driving cross-functional initiatives.

A working understanding of regulated financial services and corresponding compliance obligations.

Familiarity with statistical concepts related to machine learning.

Expertise in data analytics and visualization.