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

View our resources to prepare for the interview process.

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