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
Data Scientists bridge the gap between raw data and predictive modelling. We believe everything starts with data. You will work closely with our quantitative research team applying advanced techniques to engineer validate and refine features that feed directly into our systematic models. This is a role within an established investment team offering opportunities for progression into more senior research responsibilities across the full trading pipeline.
Responsibilities
- Conduct thorough data analysis under the mentorship of a senior quantitative researcher.
- Generate novel ideas for enhanced proprietary data products.
- Track and evaluate new offerings from internal and external data vendors in partnership with Compliance.
- Transform firm approved raw datasets into robust features for our systematic models.
- Build analytical tools to supplement our shared research framework.
Requirements
- BS MS or PhD in finance economics mathematics statistics data science computer science or other quantitative discipline.
- Programming in Python (or a comparable language) and working knowledge of SQL.
- Strong analytical and quantitative skills.
- Willingness to take ownership of their work.
- Ability to work both independently and collaboratively within a team.
- Strong desire to deliver high quality results in a timely fashion.
- High attention to detail.
- Prior experience as a data analyst data sourcing specialist or data scientist for a financial firm is a plus
- Commitment to the highest ethical standards.
Required Experience:
IC
About CubistCubist 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...
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
Data Scientists bridge the gap between raw data and predictive modelling. We believe everything starts with data. You will work closely with our quantitative research team applying advanced techniques to engineer validate and refine features that feed directly into our systematic models. This is a role within an established investment team offering opportunities for progression into more senior research responsibilities across the full trading pipeline.
Responsibilities
- Conduct thorough data analysis under the mentorship of a senior quantitative researcher.
- Generate novel ideas for enhanced proprietary data products.
- Track and evaluate new offerings from internal and external data vendors in partnership with Compliance.
- Transform firm approved raw datasets into robust features for our systematic models.
- Build analytical tools to supplement our shared research framework.
Requirements
- BS MS or PhD in finance economics mathematics statistics data science computer science or other quantitative discipline.
- Programming in Python (or a comparable language) and working knowledge of SQL.
- Strong analytical and quantitative skills.
- Willingness to take ownership of their work.
- Ability to work both independently and collaboratively within a team.
- Strong desire to deliver high quality results in a timely fashion.
- High attention to detail.
- Prior experience as a data analyst data sourcing specialist or data scientist for a financial firm is a plus
- Commitment to the highest ethical standards.
Required Experience:
IC
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