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2023-09-01

Intern - Quantitative Trader

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Geneva Trading
Intern - Quantitative Trader
Chicago, US
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Job Description

Geneva Trading LLC is a global principal trading firm founded in 1999 with offices in Chicago and Dublin. Our dedication to the improvement and optimization of our best-in-class proprietary technology allows our firm to compete on all levels in the global trading industry. We pride ourselves on a collaborative culture of integrity, trust, passion, and dedication to personal excellence. Our flat organizational structure and casual environment attracts individuals with the drive to innovate and has led to our consistent success.

Intern With Geneva Trading

Geneva Trading is looking for ambitious, entrepreneurial students to join our quantitative trading internship program 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 path to earn full-time opportunities at Geneva Trading after graduation.

As a Quant Trading (Intern) You Will

  • Undergo intensive kdb/q classroom and training
  • Model, analyze, and optimize existing and new trading opportunities
  • Develop and enhance tools to understand key drivers and indicators of profitability and risk
  • Answer questions for traders by quantifying the quantifiable and using inferences when data is imperfect

**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 June 2025
  • Understanding of statistical methods and experience employing optimization libraries and statistical packages (e.g. R or MATLAB)
  • Strong programming experience in Python
  • Overwhelming desire to solve problems and learn about market microstructure, financial markets, and algorithmic trading
  • Exposure to forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks, or support vector machines

Preferred Qualifications

  • Prior experience with relationship databases
  • Prior experience with trading competitions, competitive gaming, poker, etc.
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