Algorithmic Trader Intern

Who We Are

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. We have an entrepreneurial culture and collaboratively develop our business with patience and discipline; we work hard, learn constantly, and relentlessly improve our expertise.

Description

As an Algorithmic Trader Intern, you will have the opportunity to learn and experience relative value arbitrage trading paired with innovative software. You will work closely with Junior and 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 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 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