at Point72
Hedge FundsPosted 12 days ago
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- Compensation
- Not specified
- City
- London
- Country
- United Kingdom
Currency: Not specified
Full Job Description
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Quantitative Developer Career
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Quantitative Developer
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Experience
Early Career
Location
London
Focus
Systematic Investing
Business
Cubist
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:
- Bachelors 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.
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SIMILAR OPPORTUNITIES
Quantitative Developer
Compensation
Not specified
City: London
Country: United Kingdom
ExperiencedNo visa sponsorship
This employer did not include a short summary.
Full Job Description
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Quantitative Developer Career
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Quantitative Developer
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Experience
Early Career
Location
London
Focus
Systematic Investing
Business
Cubist
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:
- Bachelors 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.
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