Real-Time Quant Risk Engineer for Futures & AI

Geneva Trading; Chicago (IL); On-site; USD 85,000 - 175,000; Full time

Job summary

Geneva Trading in Chicago seeks a Quantitative Risk Developer / Analyst to design and deploy risk models and margin tools for futures, while providing first-line live trading support. The role blends quantitative development with risk architecture and AI-enhanced analytics.

Open to junior or senior candidates; requires Python and/or C++, real-time risk monitoring, and strong collaboration with traders and engineering in a fast-paced environment. Competitive base salary with a bonus program.

Qualifications

• Experience building and deploying quantitative risk models (e.g., VaR, stress testing, scenario analysis).
• Hands-on experience with machine learning, data science, or AI modeling for risk challenges.
• Proficiency in Python and/or C++, with software engineering best practices.
• Strong understanding of futures markets, exchange mechanics, and trading lifecycles.
• Ability to translate complex quantitative concepts for technical and non-technical stakeholders.
• Willingness to provide coverage during Asian market hours (early mornings or overnight).
• Advanced degree in a quantitative field is preferred.

Responsibilities

• Design, develop, and maintain quantitative risk models, pricing libraries, and margin replication tools for futures markets.
• AI & Machine Learning Integration: prototype and implement AI-driven techniques to enhance predictive risk modeling and anomaly detection.
• Live Trading Oversight: provide real-time, first-line support and monitor live trading activity; escalate risks as needed.
• Tooling & Architecture: build and scale real-time risk monitoring tools, dashboards, and automated alerting systems.
• Market Analysis: interpret trading behavior to assess risk implications and refine model parameters.
• Collaboration & Leadership: work with traders, operations, and core engineering; mentors for juniors (senior role).
• Incident Response: lead post-trade reviews and implement systemic fixes to prevent recurrence.

Skills

Python

C++

Quantitative modeling

Machine learning

Education

Master’s or Ph.D. in quantitative field

Tools

SQL/NoSQL

Trading systems

Job description

Geneva Trading in Chicago seeks a Quantitative Risk Developer / Analyst to design and deploy risk models and margin tools for futures, while providing first-line live trading support. The role blends quantitative development with risk architecture and AI-enhanced analytics.

Open to junior or senior candidates; requires Python and/or C++, real-time risk monitoring, and strong collaboration with traders and engineering in a fast-paced environment. Competitive base salary with a bonus program.