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.
About the team:
The team is focused on systematic equity trading. It is established, yet still pre-trade, offering an exciting opportunity to join at an early stage and be involved in a broad range of development areas. The team members come from a mixture of quant analyst and development backgrounds, using the combination of skills to achieve a common goal. All team members are based in the London office five days a week to maximize communication and interaction.
Role and Responsibilities:
An ideal growth role to suit a developer looking for additional responsibilities and independence.
Responsibilities may include:
• Building components for all aspects of live trading and research environments.
• Driving automation and robustness of our processes.
• Developing robust data checking and handling procedures.
• Monitoring and troubleshooting any issues that should arise.
• Shared responsibility for timely and correct operation of trading systems.
Requirements:
• Bachelor’s degree or equivalent in computer science or other STEM discipline
• 2+ years commercial experience with Python and its data science libraries on Linux.
• Pragmatic balance between attention to detail and delivery focus.
• Ability to work with ambiguous requirements.
• Self-driven, owning problems while knowing when to seek advice.
• Knowledge of finance and trading systems a plus.
• Experience with a systems programming language (e.g. C++, Rust) a plus.
• Commercial use of cloud compute and containers a plus.
• Strong analytical skills and command of statistics a plus.
• Be in the office five days a week.
• Commitment to the highest ethical standards.
Skills Required
- Bachelor's degree or equivalent in computer science or other STEM discipline
- 2+ years commercial experience with Python and its data science libraries on Linux
- Pragmatic balance between attention to detail and delivery focus
- Ability to work with ambiguous requirements
- Self-driven, owning problems while knowing when to seek advice
- Be in the office five days a week
- Commitment to the highest ethical standards
- Knowledge of finance and trading systems
- Experience with a systems programming language (e.g. C++, Rust)
- Commercial use of cloud compute and containers
- Strong analytical skills and command of statistics
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.
-
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.
-
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.
-
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.
