Lead, Technical Compliance
- Company
- Gemini
- Location
- United States
- Work type
- Full Time · Remote
- Posted
- 2026-09-01
Job description
The Role: Lead, Technical Compliance
In this role, you will work with a team of experienced compliance professionals responsible for critical functions within the Compliance and AML/BSA/Sanctions program. This individual will be the key person responsible for helping to modernize the Compliance program through AI and automation initiatives, including the design and implementation of agentic AI workflows and solutions that leverage AI models. The role will ensure these solutions are scalable, secure, auditable, appropriately governed, and aligned with regulatory and business requirements. In addition, you will have responsibilities including, but not limited to, assessing transaction monitoring data ingestion, development and tuning of transaction monitoring scenarios, development of customer risk scoring models, enhancing Sanctions controls, reviewing name and transaction screening settings, development of reports to present to senior management, and other critical components/development of the compliance program that may arise from time to time. This position will have frequent interaction with firm senior management, third party vendors/auditors, and multiple departments within Gemini’s organization.
Gemini’s Compliance team is constantly evolving and developing new operations and controls. In this role, you will contribute to that development by rolling-up your sleeves and building the future of money, while being an integral part of a best-in-class compliance department.
Responsibilities:
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 Gemini’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 Gemini’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 Gemini’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.
Minimum Qualifications:
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 Qualifications:
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.