Algorithmic Trader Intern

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 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 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 We offer one of the most generous profit sharing programs in the industry because we believe our employees should be able to take part in our rapid growth and success. We are proud to offer more world-class benefits for our full-time employees and their families. TransMarket Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status. Established in 1980 under the name Aardvark Financial, TransMarket Group ("TMG") operates as a privately held global markets proprietary trading firm. Their success is based on the utilization of unique… #J-18808-Ljbffr Trading Interview