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
