Senior Associate, Risk Analytics

Precision Labs; New York (NY); Hybrid; USD 99,000 - 142,000; Full time

Benefits offered by this job

Discretionary annual bonus

New hire equity grant

Comprehensive health plans

401K with company matching

Paid parental leave

Flexible time off

Job summary

Gemini Enterprises is seeking a Senior Associate, Risk Analytics to advance our risk management from reactive to proactive through automated monitoring and agentic AI. You will design systems for continuous control monitoring and work with engineering, data, compliance, and operations to build the company’s risk brain.

The role emphasizes analytical model development, real-time risk telemetry, and clear communication to senior stakeholders. A hybrid NY-based work arrangement is available.

Qualifications

• Bachelor’s degree in a quantitative field (e.g., CS, statistics, finance).
• 3–5 years of experience in risk analytics or a related technical domain.
• Strong SQL and Python proficiency.
• Experience with AI agents and LLM integration.
• Experience with automated monitoring/data quality systems.
• Ability to translate AI outputs into clear leadership reports.

Responsibilities

• Design and implement automated continuous monitoring across all enterprise risk domains.
• Develop and deploy AI agents to monitor control activities and detect anomalies.
• Interpret large datasets to form problem statements and generate insights across business units.
• Create dashboards and KRIs for senior management with automated reporting.
• Collaborate with Risk Engineering, Identity, and Product teams to instrument risk telemetry.

Skills

SQL

Python

Agentic AI

Data analytics

Reporting

Education

Bachelor’s degree in a quantitative field

Tools

LangChain

AutoGen

Job description

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, 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.

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.
• Data Communication: Ability to translate complex data and AI output into clear, actionable reporting for senior stakeholders.
• Mindset: 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).

It Pays to Work Here

The compensation & benefits package for this role includes:

• 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

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.

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.

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.

@LI-MW1