Junior Algorithmic Trader
About Us
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 operates with a startup-like potential—our growth trajectory is at least one order of magnitude greater than our current output. We foster an entrepreneurial culture, collaboratively develop our business with patience and discipline, work hard, learn constantly, and relentlessly improve our expertise.
About the Role
Our Algorithmic Traders use their expert understanding of the financial markets and market microstructure to develop relative value arbitrage trading software and build and improve trading strategies. As a Junior Algorithmic Trader, you will partner with Senior Traders to assist and learn all facets of automated trading. From researching and analyzing high-frequency tick data and trading performance, to building mathematical models and performing time series analysis, you will experience a deep dive into real-time trading and gain exposure to build your expertise. The ideal candidate is intellectually curious, technically analytical, and has the desire to learn and apply programming skills in a fast-paced environment (Python, C++).
Responsibilities
- 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 software and strategies
- Improve strategies and trade execution by performing post-trade analyses and developing prediction models
Requirements
- Pursuing a Bachelor's, Master's, or Doctorate in a technical field such as STEM or Finance with a graduation date between December 2026 and Spring 2027, or 1-2 years of pertinent industry experience
- Completed coursework in 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 (e.g., personal trading, trading competitions, firm discover days, industry-related student groups/clubs, or prior internship experience)
- Project or internship experience in data analysis, quantitative modeling, and/or machine learning
- Strong 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
- Excellent verbal and written communication skills
- Ability to work within a team in a fast-paced environment
This position requires physical presence and is onsite at our office in Chicago, IL.
Benefits
We offer one of the most generous profit-sharing programs in the industry, allowing employees to take part in our rapid growth and success. We also provide world-class benefits for our full-time employees and their families.