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TransMarket Group

Algorithmic Trader Intern

Chicago, Illinois, United StatesOn Site

First seen

Eligibility

  • Must be pursuing a relevant degree with graduation between Dec 2027 and Spring 2028
  • Minimum GPA 3.5/4 or equivalent
  • Relevant coursework required

Algorithmic Trader Intern position focusing on relative value arbitrage trading, quantitative modeling, and programming in C++/Python at TransMarket Group, open to students graduating 2027-2028.

Responsibilities

  • Work with Junior and Senior Algorithmic Traders to assist and learn all facets of automated trading
  • Develop expertise in market microstructure, tick data, and automated trading systems
  • Build and maintain trading quantitative model tools and analytics
  • Learn and master programming languages
  • Develop, code, maintain and support production-quality automated trading strategies
  • Engage in dynamic research projects and formalized internship educational program

Requirements

  • Pursuing a Bachelor's, Master's, or Doctorate in a technical field or pertinent industry experience such as but not limited to STEM or Finance with a graduation date between December 2027 and Spring 2028
  • Required courses: Data structures, Probability, Statistics and Linear Algebra
  • Minimum major GPA of 3.5/4 or equivalent scale
  • Proficiency and experience in object-oriented programming languages, C++, Python and/or Java preferred
  • Proficiency and experience in Linux scripting are a plus
  • Demonstrated passion for markets, finance, and trading preferred
  • Project or internship experience in data analysis, quantitative modeling and/or machine learning
  • Passion for math and software applied to markets and trading
  • Strong understanding of computing, math, probability, statistics, and finance
  • Strong work ethic
  • Excellent verbal and written communication skills
  • Ability to work within a team in a fast-paced environment

Graduation requirements

Graduation years: 2027, 2028

Skills

  • Python
  • C++
  • Java
  • Linux scripting
  • Quantitative modeling
  • Data analysis
  • Machine learning
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