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Geneva Trading

Quantitative Risk Developer / Analyst

Chicago OfficemidAdded today

About this role

Geneva Trading seeks a Quantitative Risk Developer/Analyst to build robust risk models for futures markets while providing real-time trading oversight. This hybrid role combines quantitative development, AI/ML integration, and live market monitoring in a fast-paced proprietary trading environment.

What you'll do

  • Design and maintain quantitative risk models, pricing libraries, and margin replication tools for futures
  • Explore and implement AI/ML techniques for predictive risk modeling and anomaly detection
  • Monitor live trading activity in real-time, identifying and escalating risk exposures and system anomalies
  • Build and optimize risk monitoring tools and infrastructure for trading operations
  • Collaborate with trading teams to support market analysis and decision-making
  • Conduct backtesting and validation of risk models and trading algorithms

What they're looking for

  • Quantitative modeling and statistical analysis
  • Python or C++ development
  • Machine learning and AI techniques
  • Futures markets and derivatives knowledge
  • Real-time data processing and systems monitoring
  • Risk management frameworks
  • SQL and data analysis
  • Problem-solving under pressure
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Geneva Trading

Geneva Trading operates a global proprietary trading platform requiring high-performance, low-latency infrastructure. The company is hiring systems engineers, operations engineers, and software engineers to build and maintain Windows and Linux-based trading systems, networking infrastructure, and automation tools that support quantitative trading operations.

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Likely interview questions

  • Walk us through your experience building quantitative risk models—what challenges have you faced with model validation or backtesting?
  • Describe a time you had to identify and respond to a real-time trading anomaly or risk breach under pressure.
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