Description
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 have the opportunity to experience relative value arbitrage trading paired with innovative software. 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 softwares 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 but not limited to STEM or Finance with a graduation date between December 2024 and Spring 2025 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
- 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