Quantitative Researcher
New York
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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.
ROLE:
A systematic US equities PM team is seeking a talented and highly driven entry-level researcher to assist in the development and improvement of their signal library.
RESPONSIBILITIES:
- Conduct quantitative signal research and compare results against the current set of alpha signals.
- Assist in the development of the entire research and trading pipeline from idea generation through to execution.
- Build production-ready tools to help monitor and debug daily signal generation, portfolio construction, and trade execution processes.
- Manage day-to-day operations in a fast-paced environment.
REQUIREMENTS:
- B.S., M.S. or Ph.D. in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
- 0-2 years of professional experience in quantitative research and/or development.
- Demonstrated proficiency in Python and SQL.
- Experience with equity options pricing models is preferred but not required.
- Highly detail-oriented.
- Ability to work both independently and collaboratively within a team.
- Strong desire to deliver high quality results in a timely fashion.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Economics Finance Mathematics Python Research SQL Statistics Trading Strategies
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