Lead, Technical Compliance

Remote

September 23, 2026

Application ends: December 22, 2026

Job Description

REQUIREMENTS

BA/BS degree or international equivalent.
7+ years of relevant work experience with compliance technology and data analysis within the financial services, digital asset and/or management consulting spaces.
Advanced skills with Python and SQL are a must.
Experience in Databricks and Pyspark is good to have
Experience designing, developing, or implementing AI-enabled automation, agentic AI workflows, or other advanced technology solutions.
Experience leveraging AI models and data-driven technologies to solve complex business or operational problems.
Ability to translate business and regulatory requirements into technical requirements, solution designs, and measurable acceptance criteria.
Understanding of the software-development lifecycle, including testing, documentation, deployment, monitoring, and production support.
Comfort in a technology-forward company and facility with computer and web-based applications, including Microsoft Office, case management systems, and web-based databases.
Experienced in working collaboratively across different teams and departments.
Strong technical and clear business communication style.
Authorization to work in the United States and fluency in English.

Preferred :

Understanding of or familiarity with regulatory expectations and industry standards in relation to AML/BSA/Sanctions regulations.
Exposure to blockchain tracing/analytics tools or blockchain concepts.
Adaptability to an ever-changing environment and the capability to articulate thorough analysis to stakeholders.
Hands-on experience with generative AI, large language models, agentic workflows, prompt and context design, workflow orchestration, or AI-model evaluation.
Familiarity with responsible-AI principles and AI governance, including explainability, human oversight, privacy, security, auditability, and model-performance monitoring.
Experience implementing AI or automation solutions within financial services, compliance, risk management, or another regulated environment.
Experience using AI-assisted development tools or coding agents to support prototyping, testing, documentation, and solution delivery.

RESPONSIBILITES

Lead the design, development, implementation, and ongoing enhancement of AI-enabled automation and agentic AI workflows across the Compliance Program.
Identify opportunities to leverage AI models, machine learning, and automation to improve the effectiveness, scalability, consistency, and efficiency of compliance processes and controls.
Evaluate emerging AI technologies and determine their suitability for compliance applications based on business value, risk, explainability, and implementation complexity.
Lead development and maintenance of our client’s transaction monitoring system, including data ingestion, development of new transaction monitoring scenarios, and optimization of transaction monitoring scenarios.
Support and maintain a customer risk scoring model that reflects our client’s risk-based approach and will drive periodic reviews and transaction monitoring (leading to effective customer segmentation).
Lead in enhancing sanctions controls, procedures, and tuning of thresholds. Maintain sanctions screening tool to stay up-to-date with list updates and relevant regulatory changes.
Build real-time data and reporting solutions using Python or SQL that automate the capture of key management information and reporting in a scalable, efficient, and reliable manner.
Integrate and maintain external tools to enhance the Compliance Program.
Assist in developing enhancements to our client’s quantitative approach to its enterprise-wide AML/BSA risk assessment.
Partner with engineers, product managers, project managers, and analysts to deliver insights to Compliance.
Partner with Compliance, Engineering, Product, Data, Legal, and Information Security teams to translate business and regulatory requirements into scalable AI and technology solutions.
Establish appropriate governance and controls for AI-enabled solutions, including testing, validation, human oversight, data protection, auditability, documentation, and ongoing performance monitoring.
Manage the end-to-end lifecycle of AI and automation solutions, from requirements gathering and prototyping through implementation, production monitoring, and continuous improvement.