AI-Driven Futures Risk Quant | Live Trading Oversight

Geneva Trading; Chicago (IL); On-site; USD 135,000 - 175,000; Full time

Benefits offered by this job

Job summary

Geneva Trading in Chicago seeks a Senior Risk Quantitative Analyst to build robust risk models for futures, integrate AI techniques, and provide first-line support for live trading. You will design pricing libraries, monitor real-time risk, mentor teammates, and collaborate with traders and engineers to align risk systems with trading strategies, including incident reviews to prevent recurring issues.

The role requires 5+ years in quantitative development, strong Python, and knowledge of SPAN

Qualifications

• 5+ years of experience in quantitative development, risk modeling, or trading systems.
• Strong Python proficiency and software engineering practices.
• Experience applying AI/ML techniques to risk challenges.
• Deep understanding of futures markets and margin mechanisms.

Responsibilities

• Design, develop, and maintain quantitative risk models for futures.
• Integrate AI-driven techniques to enhance predictive risk and anomaly detection.
• Provide real-time, first-line oversight of live trading activity.
• Build and scale real-time risk monitoring dashboards and alerts.
• Interpret market data to refine model parameters and risk assessments.
• Mentor junior team members and collaborate with traders and engineers.
• Lead post-trade reviews and implement systemic fixes.

Skills

Quantitative modeling

VaR

Stress testing

AI/ML

Python

Real-time monitoring

Communication

Education

Master's or Ph.D. in a quantitative field

Tools

Python

SQL

NoSQL

Job description

Geneva Trading in Chicago seeks a Senior Risk Quantitative Analyst to build robust risk models for futures, integrate AI techniques, and provide first-line support for live trading. You will design pricing libraries, monitor real-time risk, mentor teammates, and collaborate with traders and engineers to align risk systems with trading strategies, including incident reviews to prevent recurring issues.

The role requires 5+ years in quantitative development, strong Python, and knowledge of SPAN