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.
Skills Required
- 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
Point72 Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Point72 and has not been reviewed or approved by Point72.
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Healthcare Strength — Healthcare coverage is described as exceptional with comprehensive options and low out-of-pocket costs. Medical, dental, and vision are characterized as fully covered or no-premium for U.S. employees.
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Retirement Support — The 401(k) program features a generous employer match and access to after-tax contributions with in-plan Roth conversions. Value accrues through a multi-year vesting schedule that rewards tenure.
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Parental & Family Support — Parental and family leave is highlighted as generous and has strengthened over time. Clear primary and secondary caregiver policies are in place and seen as competitive.
Point72 Insights
What We Do
Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here.
