Senior Associate, Risk Analytics

About the Company

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: Senior Associate, Risk Analytics

Gemini is seeking an Sr. 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, escalate, 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.

Minimum Qualifications:

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.

Technical Proficiency: Strong SQL and relational database skills; intermediate-to-advanced Python ability.

AI/Agentic Frameworks: Demonstrated experience or strong familiarity with building or deploying AI agents (e.g., LangChain, AutoGen, or similar orchestration frameworks) and large language model integration.

Continuous Monitoring: Experience designing or maintaining automated systems for data quality, observability, or control monitoring.