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2024-10-02

Intern - Quantitative Risk Analyst

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Geneva Trading
Intern - Quantitative Risk Analyst
Chicago, US
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Job Description

Intern With Geneva Trading

Geneva Trading is looking for an ambitious, entrepreneurial student to join our Quantitative Risk Analyst internship next summer. Our internship program is a fast-paced, dynamic 10-week full-time paid position that gives you hands-on experience in the trading industry. Our interns are expected to design solutions to complex problems and work on projects that directly impact the firm. You’ll receive mentorship by industry pros and will participate in corporate training, teambuilding activities, and firmwide summer socials to strengthen your connection with other interns and full-time employees. The summer internship program is a proven path to earn full-time opportunities at Geneva Trading after graduation.

As a Quantitative Risk Analyst (Intern) You Will

  • Model, analyze, and optimize existing and new risk matrices
  • Assist in the development and implementation of analytical risk models, such as PCA, to provide insight into the firm’s various trading activities
  • Work closely with other members of the global risk team
  • Gain a thorough understanding of the risk models employed by our various clearing firms
  • Perform risk studies using Python, VBA, and R, often with moderate scripting and statistical analysis
  • Learn about the various duties and tasks managed by the Risk Department at an international proprietary trading firm

Required Qualifications

  • Master’s degree in Financial Engineering, Financial Mathematics, Computational Finance, or another STEM-related field of study
  • Graduation dates between December 2024 and December 2025
  • Strong working knowledge and hands-on familiarity with a range of techniques to evaluate and represent market risk, including PCA, Historical Simulation, VaR, Scenario Analysis/Stress Testing, Greeks, Option profiles, etc.
  • Financial Risk Modelling skills, with special focus in:
    • Simulation
    • Time Series
    • VaR
  • An understanding of statistical methods and statistical packages (e.g. R or Python)
  • Strong communication and interpersonal skills
  • Desire to learn in a fast paced, collaborative, and entrepreneurial environment

Preferred Qualifications

  • Solid understanding of futures and options trading (Fixed Income, FX, Equities, Commodities, etc.) and their Greeks
  • Knowledge of US, European and Asian derivatives markets
  • Database skills
  • Experience with kdb/Q
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