Senior Associate, Risk Analytics
Recruiter Fit Breakdown & Candid Summary
Gemini is seeking a Senior Associate, Risk Analytics to evolve their risk management from manual processes to a proactive, automated, and agentic model.
The ideal candidate is a quantitative professional with strong Python, SQL, and AI orchestration experience who can build real-time continuous control monitoring systems.
Applicants should possess 3 to 5 years of experience in risk management, analytics, or a related technical domain alongside a Bachelor’s degree in a quantitative field.
This role is not suited for candidates looking for purely traditional qualitative compliance work or those without hands-on technical programming and AI framework familiarity.
Role Responsibilities
- 1Lead the design and implementation of an automated, continuous monitoring framework spanning credit, fraud, operational, and compliance risk domains.
- 2Develop and deploy AI agents to monitor control activities, perform proactive anomaly detection, and orchestrate agentic workflows.
- 3Interpret large, complex datasets to formulate problem statements and generate insights across all business verticals.
- 4Maintain a comprehensive view of the AI and model risk inventory while developing automated dashboards for senior management.
- 5Partner with Risk Engineering, Identity, and Product teams to ensure risk telemetry is properly instrumented and maintain human-in-the-loop oversight.
Skills Matrix
Must-Have Skills
Nice-to-Have Skills
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