The firm deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures, and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
Role/Responsibilities:
- Independently conduct quantitative finance research with a focus on statistical and predictive models.
- Manage all aspects of the research process, including methodology selection, data collection and analysis, prototyping, backtesting, and performance monitoring.
- Evaluate new datasets for alpha potential.
- Implement models in C++ and Python.
- Monitor the daily trading process.
- Enhance and improve the trading system.
Requirements:
- PhD in finance, computer science, mathematics, physics, engineering, or other quantitative discipline.
- 0-3 years of experience in a quantitative research role.
- Strong programming skills in C++ and Python.
- Strong analytical and quantitative skills.
- Demonstrated ability to conduct independent research utilizing large data sets.
- Detail-oriented.
- Willing to take ownership of his/her work, working both independently and within a small team.
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