Remote Position

Compliance Technology Program Lead

๐ŸŒ Remote ยท United States ๐Ÿ’ผ Full-time

This is a Fully Remote Job About Our Client: The organization operates within the financial services sector, focusing on economic empowerment through multiple foundational teams such as People, Finance, Counsel, Hardware, Information Security, and Platform Infrastructure Engineering. These teams provide cross-disciplinary support and guidance on a global scale, addressing challenges related to inclusive policies, financial forecasting, legal counsel, system security, and innovation. About the Opportunity: The COMPLIANCE TECHNOLOGY PROGRAM LEAD is responsible for ensuring that machine learning and heuristic detection models, along with their supporting data infrastructure, effectively serve regulatory compliance needs for fiat and virtual currency products. This role integrates compliance expertise with machine learning and AI tooling to automate and scale oversight, monitoring, and documentation processes. By partnering with machine learning, engineering, and policy teams, this position provides comprehensive technical oversight and continuous monitoring throughout the model development lifecycle. Responsibilities: Develop automation using AI agents such as Claude and similar LLM-based tools to enhance oversight, monitoring, and documentation. Design human-in-the-loop checkpoints to maintain regulatory defensibility of automated outputs. Establish and uphold governance frameworks aligned with regulatory guidance to support defensible model deployment. Lead the creation of real-time dashboards for continuous monitoring of model health and input data quality. Define standards for threshold tuning and below the line testing controls. Develop frameworks to identify and respond to model performance degradation, ensuring risk-aligned tuning. Oversee transaction monitoring models including heuristic detection logic, threshold settings, and data pipelines. Manage blockchain analytics and screening tools with focus on typology coverage and alert quality. Supervise sanctions screening models, including list management and false-positive reduction. Oversee customer risk scoring models with segmentation and periodic recalibration. Guide the design and validation of AI-driven case resolution models ensuring explainability and auditability. Requirements: Seven or more years of experience in compliance technology within regulated financial institutions or consultancy. Practical experience with modern AI tools including Claude, GPT, or comparable LLM agents for production automation. Knowledge of machine learning and heuristic models in transaction monitoring, sanctions screening, and risk scoring. Experience in input data quality and model performance monitoring. Familiarity with AML model validations compliant with SR 11-7 and OCC 2011-12. Experience managing regulatory examinations, consent orders, and interaction with regulators and monitors. Understanding of virtual currencies and related compliance challenges. Familiarity with blockchain analytics tools such as Chainalysis and TRM Labs. Proven ability to lead cross-functional initiatives. Working knowledge of regulated financial services compliance requirements. Understanding of statistical concepts related to machine learning. Expertise in data analytics and visualization. Pay Range and Compensation Package: The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors. Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin. Note: TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.

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