Senior Associate, Risk Analytics
Core
Design and implement automated, continuous monitoring frameworks and agentic AI systems to detect, escalate, and remediate enterprise-wide risks (Credit, Fraud, Operational, Compliance) in real-time.
Role type
Senior Associate, Risk Analytics (Quantitative IC)
Builds
Automated risk monitoring systems, agentic AI workflows, predictive detection models, and real-time risk dashboards.
Domain
Cryptocurrency/Web3, Enterprise Risk Management, AI/ML Operations
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
SQL, Python, AI agent orchestration (LangChain, AutoGen), LLM integration, automated control monitoring, predictive modeling, data interpretation
Preferred skills
Business Intelligence (Tableau, Looker), Model Risk Management (MRM), AWS Bedrock, GCP, open-source LLMs, MLOps/AIOps
Technologies
LangChain, AutoGen, AWS Bedrock, GCP, Tableau, Looker, SQL, Python
Responsibilities
Lead design of automated continuous monitoring frameworks across enterprise risk domains; Develop and deploy AI agents for proactive anomaly detection and root-cause analysis; Interpret complex datasets to generate predictive models and detection tools; Maintain AI/model risk inventory and develop automated dashboards for KRIs; Partner with Engineering and Product teams to instrument risk telemetry and train stakeholders on agentic outputs.
Seniority
Mid-Senior, hands-on IC
