Hiring.Camp

Senior Risk Quantitative Developer (Futures Focus)

Geneva Trading

·

Today

Salary
$135k – $175k
Location
Chicago Office
Workplace
Hybrid
Department
Risk
Seniority
Senior
Experience
5+ years
Education
PhD
Source
Greenhouse

Description

Founded in 1999, Geneva Trading is a premier global principal trading firm with strategically located offices in Chicago, Dublin, and London. Our relentless focus on trading excellence combined with technological innovation has equipped us with a best-in-class proprietary trading platform, enabling us to compete at the highest levels in the global markets. Rooted in a culture of integrity, collaboration, and an unwavering passion for progress, we foster an environment of personal and professional excellence. Our nimble organizational structure and entrepreneurial spirit attract top-tier talent with a passion for innovation, laying the foundation and driving our consistent success in the industry.

 

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 

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Skills

PythonSQLMachine LearningData Science

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