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
The candidate will be responsible for some or all of parts of the research pipeline—including data processing, feature design, model training, portfolio construction and management, back-testing, and performance analysis. Successful researchers combine statistical analysis, machine learning techniques, intense passion, and curiosity to decipher the market, and aspire to gain great intellectual understanding and financial outperformance.
RESPONSIBILITIES
- Finding alphas in global equity markets by applying rigorous statistical analysis on technical data or alternative data sets. Performing hypotheses testing, feature design, and backtesting to improve on alpha ideas.
- Maintaining and improving the research pipeline, including alpha generation, portfolio construction, back-testing, and monetization.
- Maintaining and improving portfolio trading in production environments.
REQUIREMENTS
- Bachelors degree or higher in mathematics, statistics, computer science, or other quantitative discipline.
- 2+ years of experience in quantitative research. Experience in medium frequency equity research is a plus.
- Strong analytical and quantitative skills; solid knowledge in statistics, linear algebra, or machine learning.
- Proficiency in Python. Familiarity with scientific toolkits, such as Numpy and Pandas.
- Ability to work both independently and collaboratively within a team.
- Commitment to the highest ethical standards.
Skills Required
- Bachelors degree or higher in mathematics, statistics, computer science, or other quantitative discipline
- 2+ years of experience in quantitative research
- Strong analytical and quantitative skills
- Solid knowledge in statistics, linear algebra, or machine learning
- Proficiency in Python
- Familiarity with scientific toolkits such as Numpy and Pandas
- Ability to work both independently and collaboratively within a team
- 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.
