Lead, Technical Compliance

Role overview A senior compliance technology leader is needed to modernize a financial-crime prevention program through AI, automation, and advanced data engineering. The role blends hands-on technical work with program ownership, partnering across compliance, engineering, product, data, legal, and security teams to deliver scalable, governed solutions.

Responsibilities - Design, build, and continuously improve AI-enabled automation and agentic AI workflows that strengthen compliance controls. - Evaluate emerging AI technologies for fit, weighing business value, risk, explainability, and implementation complexity. - Own the transaction monitoring platform end-to-end, including data ingestion, scenario development, threshold tuning, and optimization. - Maintain and refine a customer risk-scoring model that supports segmentation, periodic reviews, and risk-based monitoring. - Enhance sanctions and name/transaction screening controls, keeping tooling aligned with list updates and regulatory changes. - Build scalable Python or SQL reporting pipelines that automate management information delivery. - Establish governance for AI solutions, covering testing, validation, human oversight, documentation, auditability, and ongoing performance monitoring. - Translate business and regulatory requirements into technical designs and measurable acceptance criteria.

Requirements - Bachelor's degree or international equivalent. - 7+ years in compliance technology and data analysis within financial services, digital assets, or management consulting. - Advanced proficiency in Python and SQL. - Experience designing or deploying AI-enabled automation, agentic AI workflows, or similar advanced technology solutions. - Strong grasp of the software development lifecycle, including testing, documentation, deployment, and production support. - Demonstrated ability to collaborate across functions and communicate technical concepts to business stakeholders. - Authorization to work in the United States and fluency in English.

Nice to have - Familiarity with AML/BSA/Sanctions regulatory expectations and industry standards. - Exposure to Databricks and PySpark. - Hands-on experience with generative AI, large language models, prompt and context design, workflow orchestration, or AI-model evaluation. - Understanding of responsible-AI principles and AI governance, including explainability, privacy, security, and model-performance monitoring. - Experience with blockchain tracing or analytics tools. - Prior use of AI-assisted development tools for prototyping, testing, and documentation.

Benefits and work setup - Competitive base salary, discretionary annual bonus, and a new-hire equity grant. - Comprehensive health coverage, 401(k) with company match, and paid parental leave. - Flexible time off. - Hybrid work approach at hub locations, with remote options outside hub regions; in-person onboarding required. - Base salary range for New York: $140,000-$200,000, depending on skillset, experience, scope, and market data.