Director, AI Compliance

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. 

The Robinhood Markets (“RHM”) Compliance team is Robinhood’s parent company group. As the AI Compliance Lead within RHM Compliance, you’ll play a critical role in supporting Robinhood’s development and implementation of Artificial Intelligence.

Working with Legal, Engineering, Privacy, and Security and oversight groups across Robinhood, you’ll ensure that the development and use of AI technologies are transparent, ethical, and compliant with relevant regulations. You’ll do significant work on high-priority, cross-functional projects and lead the compliance efforts to further mature, scale, and operationalize the AI Compliance framework, while also supporting Legal and Compliance in adopting AI for their own work. Given the pace of AI adoption, we need someone who can move quickly, make sound decisions, and enable the business while managing risk!

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. 

• →Own and continue to build a cross-Robinhood AI compliance program by developing policies & procedures, oversight & testing, governance, and frameworks, including tools that operationalize AI governance
• →Work with cross functional partners to maintain and enhance a formal risk assessment and mitigation program for AI use cases and capabilities, including generative AI and agentic AI
• →Maintain an enterprise inventory of AI use cases, models, and third-party AI tools, with a risk-tiering and intake process that scales the level of review, testing and monitoring to risk
• →Evaluate and categorize new AI tools and use cases (intended use, data and controls), and develop new models and templates that speed up onboarding and approval
• →Partner with compliance business units (“BU”), enterprise risk management and BU risk to implement Model Validation for AI programs
• →Work with Legal, Privacy, Risk, Engineering, Security and BU compliance to ensure processes are in place for AI regulatory compliance
• →Monitor emerging global AI regulatory frameworks, laws, regulations, policies and trends
• →Remain up-to-date on standards, technical approaches, and related issues by participating in workshops, reading professional publications, maintaining personal networks, and participating in professional organizations
• →Provide regulatory and compliance advice on AI-related efforts, including supporting internal audits and regulatory exams and inquiries
• →Act as the RHM enterprise compliance subject matter expert on AI, facilitating the integration of the AI compliance program and raising awareness around the importance and safe adoption of AI across RH
• →Support Legal and Compliance teams in identifying, evaluating, and responsibly adopting AI for their own use cases (e.g., regulatory change management, monitoring and surveillance, policy and contract review, and compliance testing), including defining appropriate guardrails, testing and human review
• →Participate in committee meetings and present to senior leadership and the boards of Robinhood entities on AI usage, risk analysis, and compliance efforts, and produce clear policies and reports that support a reasonable, well-documented approach to AI risk
• →Develop and deliver practical, example driven training programs for employees on AI ethics, compliance, and responsible AI practices

• Bachelor’s Degree, and equivalent experience, in a related field
• 7+ years of progressive professional experience in Compliance, Legal, Model Risk Management, or Regulatory Tech Advisory, with at least 3+ years directly within a regulated financial services institution, fintech, or broker-dealer environment.
• Demonstrated experience in AI compliance or AI governance, including assessing use cases, controls, and governance for new AI tools (fintech, technology, or other organizations with AI ethics or compliance functions)
• Working knowledge of how financial services regulation (e.g., broker-dealer, banking, consumer protection) applies to technology and data-driven products
• Excellent analytical skills and highly organized, resourceful and committed with experience driving focus, clarity and prioritization in a fast-paced environment, with sound judgment and the ability to make timely, risk-based decisions
• Pragmatic, solutions-oriented approach to compliance: a track record of enabling the business to move quickly while managing risk, and of knowing when to escalate
• Strong interpersonal skills and composure in high-profile settings, with the ability to influence cross-functionally and communicate clearly with non-technical stakeholders and senior leaders
• Experience drafting and implementing policies, procedures, standards and guidelines
• Strong technical understanding and deep interest in AI capabilities: the technologies (e.g. machine learning, deep learning, neural networks, large language models, and agentic systems) and the emerging field (e.g. GenAI, AI Governance, Explainable AI (XAI))
• Understanding of concepts of equity and fairness, ethics, transparency, interpretability, safety in the context of AI/ML
• Familiarity with Model Validation concepts (model mechanics, standards, testing and evaluation, data integrity and continuous monitoring) as it relates to AI
• Working knowledge of Responsible AI policy, governance, trends, frameworks, evaluation techniques for machine learning models, and best practices
• Experience advising or partnering with Legal and Compliance Teams on technology and AI tools used in their workflows is a plus