Quantitative Risk Developer / Analyst

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

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 a high-quality Quantitative Risk Developer / Analyst to join our proprietary trading firm. We welcome applications from both exceptional junior candidates looking to accelerate their careers and seasoned senior professionals. 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 & Leadership: Partner closely with traders, operations, and core engineering teams to align risk systems with trading strategies. (Senior candidates will also be expected to 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:

• Industry Experience: Open to all levels. Ranging from 1–2+ years of high-impact experience for junior candidates to 5+ years for senior applicants in a quantitative development, risk modeling, or trading systems role.

• Quantitative & Modeling Expertise: Experience (or strong academic/project background for juniors) building and deploying quantitative risk models (e.g., VaR, stress testing, scenario analysis).

• 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: Proficiency in Python and/or C++, with a solid grasp of software engineering best practices, data structures, and database management (SQL/NoSQL).

• Market Knowledge: 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: $85,000 - $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.