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2026-08-20

Senior Risk Quantitative Developer (Futures Focus)

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Geneva Trading
Senior Risk Quantitative Developer (Futures Focus)
Chicago, US
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Job Description

About the Role:

We are seeking an experienced Senior Risk Quantitative Developer to join our proprietary trading firm. This uniquely hybrid role balances building robust quantitative risk models with providing critical first-line support for live trading activity, with a strong focus on futures markets. The ideal candidate is a hands-on builder and a calm problem-solver who thrives at the intersection of quantitative development, risk architecture, real-time market dynamics, and applied artificial intelligence.

Key Responsibilities:

  • Quantitative Development: Design, develop, and maintain quantitative risk models, pricing libraries, and margin replication tools for futures markets.

  • AI & Machine Learning Integration: Explore, prototype, and implement AI-driven techniques to enhance predictive risk modeling, anomaly detection, and automated trading surveillance.

  • Live Trading Oversight: Provide real-time, first-line support and monitoring of live trading activity, rapidly identifying and escalating risk exposures, breaches, or system anomalies.

  • Tooling & Architecture: Build, optimize, and scale real-time risk monitoring tools, dashboards, and automated alerting systems.

  • Market Analysis: Interpret complex trading behavior and market movements to assess potential risk implications and continuously refine model parameters.

  • Collaboration & Mentorship: Partner closely with traders, operations, and core engineering teams to align risk systems with trading strategies. Mentor junior team members and guide risk-tech architecture decisions.

  • Incident Response: Lead post-trade reviews, risk incident analysis, and implement systemic fixes to prevent recurring issues.

What We’re Looking For:

  • Quantitative & Modeling Expertise: Proven experience building and deploying quantitative risk models (e.g., VaR, stress testing, scenario analysis) within a production environment.

  • AI Experience & Passion: Practical experience with machine learning, data science, or AI modeling techniques, coupled with a strong enthusiasm for expanding your AI expertise and applying it to complex risk challenges.

  • Technical Skills: Advanced proficiency in Python, with a strong grasp of software engineering best practices, data structures, and database management (SQL/NoSQL).

  • Industry Experience: 5+ years of experience in a quantitative development, risk modeling, or trading systems role within a proprietary trading firm, hedge fund, or investment bank.

  • Market Knowledge: Deep, practical understanding of futures markets, exchange mechanics, and trading lifecycles.

  • Calm Under Pressure: Exceptional ability to remain composed, troubleshoot systems, and make sound judgments in a fast-moving, high-stakes live trading environment.

  • Communication: Excellent ability to translate complex quantitative concepts and risk concerns into actionable insights for both technical and non-technical stakeholders.

  • Flexibility: Willingness to provide coverage during Asian market hours, including early mornings or overnight shifts, as dictated by live trading support needs.

Preferred Qualifications:

  • Advanced degree (Master’s or Ph.D.) in a quantitative field such as Financial Engineering, Mathematics, Physics, Computer Science, or equivalent.

  • Familiarity with exchange margin methodologies (e.g., SPAN, SPAN 2).

  • Experience working in a 24/5 or global trading infrastructure.

Compensation

Base Salary Range: $135,000 - $175,000, plus eligibility for a performance-based bonus.

Final compensation will be determined based on the candidate’s skills, experience, education, and qualifications. In addition to base salary, Geneva Trading offers a competitive total rewards package, including a comprehensive benefits program. Learn more about our employee incentives here: https://www.genevatrading.com/employee- incentives/

Application expected to close: 10/01/2026

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