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Intern - Quantitative Trader

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Geneva Trading

Oct 5, 2023

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Banking & Finance
  • Chicago

Requirements

  • 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.

Responsibilities

  • 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

Finance
Industry
51-200
Employees
1999
Founded Year

Mission & Purpose

Geneva Trading is a leading proprietary trading firm with a history of consistent success in the listed derivatives markets. Over the past 20 years, we’ve grown significant capital, developed proven technology, and maintained an appetite for diversified trading strategies. We foster innovation and look for people who can solve complex problems that drive immediate results. We've built a culture of collaboration and personal excellence, which allows us to push the bounds of what's possible.