Founded in 1980 as Aardvark Financial, TransMarket Group (TMG) is a privately held global markets proprietary trading firm in Chicago. We use next-generation technology to capture opportunities around the world and manage risk in financial markets. Our mission is to bless others through the services we provide and through the generous stewardship of the wealth we create.
TMG is a well-established and profitable business as a respected member of the global financial system for over 40 years, but also is like a startup because the potential of our group is at least one order of magnitude greater than what we are currently producing.
What you'd do
- Work with Senior Algorithmic Traders to assist and learn all facets of automated trading
- Develop expertise in market microstructure, tick data, and automated trading systems
- Learn and master object-oriented programming languages (C++ and Python)
- Build and maintain trading quantitative model tools and analytics
- Develop, code, maintain and support production quality automated trading softwares and strategies
- Improve strategies and trade execution by performing post trade analyses and developing prediction models
What they want
- Pursuing a Bachelor's, Master's, or Doctorate in a technical field such as but not limited to STEM or Finance with a graduation date between December 2026 and Spring 2027 or 1-2 years pertinent industry experience
- 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 such as, but not limited to personal trading, participation in trading competitions, attendance at firm discover days, industry related student groups or clubs and/or prior internship experience 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 and willingness to do what it takes to get the job done