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Quant Trader Micro-Internship

Old MissionChicago, IL

  • Internship
  • Full time

Overview

About Old Mission

Old Mission is a global proprietary trading firm that uses advanced technology and research to identify and execute profitable trading strategies across multiple asset classes worldwide. Our offices in Chicago, New York, and London are made up of naturally curious individuals who thrive in a team environment and constantly seek improvement.

Responsibilities

Our quant trading interns will explore new trading strategies, engage in mock trading, participate in quantitative research, and develop related software. Interns will join the firm's education program, learning about all aspects of trading and financial markets both in formal classes and on the job. The program runs from January 4th, 2027 to January 22nd, 2027.

Required Skills

  • Strong quantitative background and familiarity with probability and statistics
  • Undergraduate degree in a quantitative field such as computer science, engineering, or a hard science
  • Graduating in December 2027 or May 2028
  • Familiarity with Python
  • Ability to work and solve problems as part of a team, often under pressure
  • Proven trustworthiness and performance under the highest ethical standards
  • Strong desire for knowledge and to understand how things work
  • Superior written and verbal communication skills
  • Strong work ethic and ability to adapt quickly in a fast-paced environment

Benefits and Perks

  • Sharp, motivated co-workers in a fast-paced office environment
  • Fully stocked kitchen, free breakfast and lunch daily on-site
  • Housing provided
  • Competitive compensation

Base Salary

  • $2,500 per week

Old Mission is not accepting unsolicited resumes from staffing or search firms. Any resumes submitted by such firms to any Old Mission employee via email, the Internet, or directly without a valid signed search agreement will be considered the sole property of Old Mission, and no fee will be paid if the candidate is hired.

Skills mentioned

  • Python
  • statistics
  • Probability
  • Quantitative research
  • Trading Strategies

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