Senior Associate, Risk Analytics

About Us Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of simple, reliable, and secure crypto products and services to individuals and institutions in over 70 countries. Our mission is to unlock the next era of financial, creative, and personal freedom by providing trusted access to the decentralized future. We envision a world where crypto reshapes the global financial system, internet, and money to create greater choice, independence, and opportunity for all — bridging traditional finance with the emerging cryptoeconomy in a way that is more open, fair, and secure. As a publicly traded company, Gemini is poised to accelerate this vision with greater scale, reach, and impact. The Department: Enterprise Risk Risk at Gemini is a team dedicated to managing the next generation of financial and non-financial risks in a complex and evolving landscape. We are a diverse group of technology, legal, and operational professionals who develop new approaches to solving classic problems using cutting edge tools and processes in an ever changing industry. We are looking for like-minded individuals who are willing to be bold, visionaries and live the ethos of turning risk into return for our shareholders. The Role Gemini is seeking a Senior Associate, Risk Analytics to join the Risk Management function. As we evolve our risk infrastructure, we are looking for a quantitative and technically proficient individual to move our risk management from reactive, manual processes to a proactive, automated, and agentic model. This role will own the design and implementation of systems for continuous control monitoring, using agentic AI to detect, elevate, and remediate risk across the entire enterprise. You will work closely with Engineering, Data, Compliance, and Operations to build the "risk brain" of the company—an environment where risk controls are codified, monitored in real-time, and scaled through autonomous agents. Responsibilities Continuous Control Monitoring: Lead the design and implementation of an automated, continuous monitoring framework that spans all enterprise risk domains (Credit, Fraud, Operational, Compliance). Move the firm away from periodic/manual checks toward real-time observability. Agentic Risk Infrastructure: Scale our risk management capabilities by developing and deploying AI agents to monitor control activities. Orchestrate agentic workflows to perform proactive anomaly detection, perform root-cause analysis on incidents, and suggest risk mitigation actions. Enterprise Risk Analytics: Interpret large, complex datasets to formulate problem statements and generate insights across all business verticals. Develop predictive models and detection tools that reduce risk exposure and enhance operational efficiency. Risk Governance & Reporting: Maintain a comprehensive view of the AI and model risk inventory. Develop automated dashboards that provide senior management with a "solid analytical story," leveraging BI tools to track Key Risk Indicators (KRIs) against appetite. Cross-Functional Collaboration: Partner with the Risk Engineering, Identity, and Product teams to ensure risk telemetry is properly instrumented. Provide clear communication and training on how to interpret agentic outputs and maintain human-in-the-loop oversight. Requirements Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Finance, Engineering) 3–5 years of experience in risk management, analytics, or a related technical domain Strong SQL and relational database skills; intermediate-to-advanced Python ability Demonstrated experience or strong familiarity with building or deploying AI agents (e.g., LangChain, AutoGen, or similar orchestration frameworks) and large language model integration Experience designing or maintaining automated systems for data quality, observability, or control monitoring Ability to translate complex data and AI output into clear, actionable reporting for senior stakeholders A "no-task-is-too-small" attitude, combined with the ability to operate in ambiguity and a healthy balance of empathy and skepticism toward automated systems Preferred Qualifications Experience with Business Intelligence and Data Visualization (Tableau, Looker) Prior experience in model risk management (MRM) and knowledge of MAS AI MRM supervisory expectations Experience with AWS Bedrock, GCP and opensource LLMs Experience in MLOps or AIOps (e.g., CI/CD pipelines for AI/ML models) Benefits Competitive starting pay A discretionary annual bonus Long-term incentive in the form of a new hire equity grant Comprehensive health plans 401K with company matching Paid Parental Leave Flexible time off Compensation Salary Range: The base salary range for this role is between $99,400 - $142,000 in the State of New York. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate's compensation, we consider a number of factors including skillset, experience, job scope, and current market data. Work Environment In the United States, we offer a hybrid work approach at our hub offices, balancing the benefits of in-person collaboration with the flexibility of remote work. Expectations may vary by location and role, so candidates are encouraged to connect with their recruiter to learn more about the specific policy for the role. Employees who do not live near one of our hubs are part of our remote workforce. All employees, however, are required to onboard in-person at one of our office locations. #J-18808-Ljbffr Unchain Data