Remote-Eligible AI-Driven Risk Analytics Specialist

Socket.dev; New York (NY); Hybrid; USD 99,000 - 142,000; Full time

Benefits offered by this job

Competitive pay

Bonus eligibility

Equity grant

Job summary

Gemini is seeking a Senior Associate, Risk Analytics to build a proactive, automated risk management platform. You will design continuous control monitoring, deploy AI agents, and collaborate with Engineering, Data, Compliance, and Operations to codify risk telemetry.

You will translate complex data into actionable insights, develop predictive models, and create executive dashboards to inform senior leadership while advancing a scalable, real-time risk infrastructure.

Qualifications

• Bachelor's degree in a quantitative field (e.g., CS, Statistics, Finance, Engineering).
• 3-5 years of experience in risk management, analytics, or related technical domain.
• Strong SQL and Python proficiency, with capability to translate data into insights.
• Experience with AI agents/frameworks (LangChain, AutoGen) and LLM integration.
• Experience with automated monitoring, data observability, or risk data pipelines.

Responsibilities

• Design and implement automated continuous control monitoring across risk domains.
• Develop and deploy AI agents to monitor controls and trigger mitigation actions.
• Interpret large datasets to build predictive models and risk signals.
• Create automated dashboards to track KRIs and governance metrics for senior leaders.
• Collaborate with Risk Engineering, Identity, and Product teams to instrument telemetry.

Skills

SQL

Python

LangChain

AI agents

Data analytics

Education

Bachelor's degree in quantitative field

Tools

Tableau

Looker

AWS Bedrock

GCP

Open-source LLMs

Job description

Gemini is seeking a Senior Associate, Risk Analytics to build a proactive, automated risk management platform. You will design continuous control monitoring, deploy AI agents, and collaborate with Engineering, Data, Compliance, and Operations to codify risk telemetry.

You will translate complex data into actionable insights, develop predictive models, and create executive dashboards to inform senior leadership while advancing a scalable, real-time risk infrastructure.