Quantitative Developer
New York
Point72
We invest in Discretionary Long/Short, Macro, and Systematic strategies. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. Join our team to innovate, experiment, and be...
ABOUT CUBIST
Cubist Systematic Strategies, an affiliate of Point72, 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.
RESPONSIBILITIES
- Building components for both live trading and simulation
- Refining and increasing automation and robustness of the research infrastructure including alpha estimation, risk modeling, and backtesting components
- Building tools for signal blending, simulation, portfolio construction, the research framework, and dashboards
- Maintaining and updating the platform, ensuring its stability, robustness, and security
- Developing robust data checking and storage procedures
- Troubleshooting and resolving any systems related issues and handle the release of code fixes and enhancements
REQUIREMENTS
- Bachelor’s degree or higher in computer science or other STEM discipline
- Advanced proficiency in Python and its ecosystem (numpy, pandas, polars, scikit-learn), with an understanding of Python and library internals
- Experience contributing to core Python numerical libraries is a huge plus (numpy, tensorflow, torch, jax)
- Proficiency with Linux
- Hands-on experience with software architecture and engineering best practices (testing, CI/CD, monitoring, profiling, version control)
- Knowledge of one or more of: distributed systems, databases, ML engineering, AWS
- Strong quantitative and analytical skills; command of linear algebra, statistics, and machine learning would be helpful
- Proficiency with C/C++ is a plus
- Knowledge of financial markets is a plus
- Commitment to the highest ethical standards
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
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Category:
Engineering Jobs
Tags: Architecture AWS CI/CD Computer Science Distributed Systems Engineering JAX Linear algebra Linux Machine Learning NumPy Pandas Python Research Scikit-learn Security Statistics STEM TensorFlow Testing Trading Strategies
Region:
North America
Country:
United States
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