Senior Risk Quantitative Developer (Futures Focus)

Geneva Trading•Chicago, IL

11h•$135,000 - $175,000

About The Position

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.

Requirements

Proven experience building and deploying quantitative risk models (e.g., VaR, stress testing, scenario analysis) within a production environment.
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.
Advanced proficiency in Python, with a strong grasp of software engineering best practices, data structures, and database management (SQL/NoSQL).
5+ years of experience in a quantitative development, risk modeling, or trading systems role within a proprietary trading firm, hedge fund, or investment bank.
Deep, practical understanding of futures markets, exchange mechanics, and trading lifecycles.
Exceptional ability to remain composed, troubleshoot systems, and make sound judgments in a fast-moving, high-stakes live trading environment.
Excellent ability to translate complex quantitative concepts and risk concerns into actionable insights for both technical and non-technical stakeholders.
Willingness to provide coverage during Asian market hours, including early mornings or overnight shifts, as dictated by live trading support needs.

Nice To Haves

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.

Responsibilities

Design, develop, and maintain quantitative risk models, pricing libraries, and margin replication tools for futures markets.
Explore, prototype, and implement AI-driven techniques to enhance predictive risk modeling, anomaly detection, and automated trading surveillance.
Provide real-time, first-line support and monitoring of live trading activity, rapidly identifying and escalating risk exposures, breaches, or system anomalies.
Build, optimize, and scale real-time risk monitoring tools, dashboards, and automated alerting systems.
Interpret complex trading behavior and market movements to assess potential risk implications and continuously refine model parameters.
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.
Lead post-trade reviews, risk incident analysis, and implement systemic fixes to prevent recurring issues.