The company provides systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of the firm’s effort is rigorous research into a wide range of market anomalies, fueled by unparalleled access to a wide range of publicly available data sources.
Researchers are responsible for independently conducting quantitative finance research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.
Some successful researchers have joined from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from a large team of experienced portfolio managers and researchers. The most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior.
Key Responsibilities
- MS or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline
- 3-7 years of experience in alpha driven quantitative research for equities, futures, fixed income, credit, and/or FX
- Strong analytical and quantitative skills
- Demonstrated ability to conduct independent research utilizing large data sets
- Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl
- Detail-oriented
- Willing to take ownership of his/her work, working both independently and within a small team
Skills, Knowledge & Experience
- Master/PhD degree in math, physics, computer science, engineering, or other related discipline.
- 1-3 years of professional experience in software development or quantitative research.
- Strong combination of quantitative skills and programming skills.
- Proficiency in Python 3 and either C++ or Java.
- Familiarity with the Linux environment
