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Hedge Funds
Quantitative Developer
at Point72
JuniorNo visa sponsorshipPython
Posted a month ago
No clicks
- Compensation
- Not specified
- City
- London
- Country
- United Kingdom
Currency: Not specified
Join Cubist’s Systematic Investing team to develop and scale components across live trading and research environments. You will build automation, data checking/handling procedures, and help ensure robust, timely operation of trading systems. The role requires strong Python experience, familiarity with Linux, and an understanding of computation, OOP and data engineering. Initially London-based, the position offers exposure to trading systems and the opportunity to grow with a scaling team.
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Quantitative Developer Career
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P72 Careers - Header
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Learn about the culture and community you can expect when you join us.
Define Your Path Students & Early-Career
Experienced Professionals
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Quantitative Developer
Apply Now
Experience
Experienced Professionals
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 focuses on systematic equity trading and, while established, is scaling its trading activity, offering an opportunity to join at a key stage and contribute across multiple 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. We require London based in the short term to maximize team efficiency but are flexible in location in the medium and long term.
Role/Responsibilities:
An ideal growth role for a developer seeking opportunities across the full startup lifecycle—from building from scratch to scaling and expansion—while gaining an understanding of how technology drives efficiency and impact.
Responsibilities may include:
- Building components for all aspects of live trading and research environments.
- Driving automation and robustness of the team’s 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 of commercial experience with Python and its data science libraries.
- Experience with Linux and basic bash scripting.
- Solid understanding of computation, OOP/architecture design, and data engineering.
- Knowledge and experience with trading systems, e.g., transaction costs modelling, optimization.
- Accountable, self-driven, with high standards for deliverables and performance.
- Ability to work and deliver in a fast pace.
- Ability to balance attention to detail with execution and delivery focus in a pragmatic manner.
- Ability to work with ambiguous requirements.
- Commercial use of cloud compute and containers a plus.
- Strong analytical skills and command of statistics a plus.
- Commitment to the highest ethical standards.
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About Cubist:
\nCubist 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:
\nThe team focuses on systematic equity trading and, while established, is scaling its trading activity, offering an opportunity to join at a key stage and contribute across multiple 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. We require London based in the short term to maximize team efficiency but are flexible in location in the medium and long term.
Role/Responsibilities:
\nAn ideal growth role for a developer seeking opportunities across the full startup lifecycle—from building from scratch to scaling and expansion—while gaining an understanding of how technology drives efficiency and impact.
Responsibilities may include:
- Building components for all aspects of live trading and research environments.
- Driving automation and robustness of the team’s 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:
\n- Bachelor’s degree or equivalent in computer science or other STEM discipline.
- 2+ years of commercial experience with Python and its data science libraries.
- Experience with Linux and basic bash scripting.
- Solid understanding of computation, OOP/architecture design, and data engineering.
- Knowledge and experience with trading systems, e.g., transaction costs modelling, optimization.
- Accountable, self-driven, with high standards for deliverables and performance.
- Ability to work and deliver in a fast pace.
- Ability to balance attention to detail with execution and delivery focus in a pragmatic manner.
- Ability to work with ambiguous requirements.
- Commercial use of cloud compute and containers a plus.
- Strong analytical skills and command of statistics a plus.
- Commitment to the highest ethical standards.
\n
\n
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Quantitative Developer
at Point72
Back to all Python jobs
Hedge Funds
Quantitative Developer
at Point72
JuniorNo visa sponsorshipPython
Posted a month ago
No clicks
- Compensation
- Not specified
- City
- London
- Country
- United Kingdom
Currency: Not specified
Join Cubist’s Systematic Investing team to develop and scale components across live trading and research environments. You will build automation, data checking/handling procedures, and help ensure robust, timely operation of trading systems. The role requires strong Python experience, familiarity with Linux, and an understanding of computation, OOP and data engineering. Initially London-based, the position offers exposure to trading systems and the opportunity to grow with a scaling team.
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Quantitative Developer Career
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P72 Careers - Header
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Quantitative Developer
Apply Now
Experience
Experienced Professionals
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 focuses on systematic equity trading and, while established, is scaling its trading activity, offering an opportunity to join at a key stage and contribute across multiple 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. We require London based in the short term to maximize team efficiency but are flexible in location in the medium and long term.
Role/Responsibilities:
An ideal growth role for a developer seeking opportunities across the full startup lifecycle—from building from scratch to scaling and expansion—while gaining an understanding of how technology drives efficiency and impact.
Responsibilities may include:
- Building components for all aspects of live trading and research environments.
- Driving automation and robustness of the team’s 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 of commercial experience with Python and its data science libraries.
- Experience with Linux and basic bash scripting.
- Solid understanding of computation, OOP/architecture design, and data engineering.
- Knowledge and experience with trading systems, e.g., transaction costs modelling, optimization.
- Accountable, self-driven, with high standards for deliverables and performance.
- Ability to work and deliver in a fast pace.
- Ability to balance attention to detail with execution and delivery focus in a pragmatic manner.
- Ability to work with ambiguous requirements.
- Commercial use of cloud compute and containers a plus.
- Strong analytical skills and command of statistics a plus.
- Commitment to the highest ethical standards.
Apply Now
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About Cubist:
\nCubist 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:
\nThe team focuses on systematic equity trading and, while established, is scaling its trading activity, offering an opportunity to join at a key stage and contribute across multiple 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. We require London based in the short term to maximize team efficiency but are flexible in location in the medium and long term.
Role/Responsibilities:
\nAn ideal growth role for a developer seeking opportunities across the full startup lifecycle—from building from scratch to scaling and expansion—while gaining an understanding of how technology drives efficiency and impact.
Responsibilities may include:
- Building components for all aspects of live trading and research environments.
- Driving automation and robustness of the team’s 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:
\n- Bachelor’s degree or equivalent in computer science or other STEM discipline.
- 2+ years of commercial experience with Python and its data science libraries.
- Experience with Linux and basic bash scripting.
- Solid understanding of computation, OOP/architecture design, and data engineering.
- Knowledge and experience with trading systems, e.g., transaction costs modelling, optimization.
- Accountable, self-driven, with high standards for deliverables and performance.
- Ability to work and deliver in a fast pace.
- Ability to balance attention to detail with execution and delivery focus in a pragmatic manner.
- Ability to work with ambiguous requirements.
- Commercial use of cloud compute and containers a plus.
- Strong analytical skills and command of statistics a plus.
- Commitment to the highest ethical standards.
\n
\n
","title":"Quantitative Developer","@type":"JobPosting","@context":"http://schema.org/"} CSJobDetailModule.init('{\"lastModifiedDateFormatted\":\"2026-01-20\",\"job\":{\"attributes\":{\"type\":\"Job__c\",\"url\":\"/services/data/v65.0/sobjects/Job__c/a03Vo00001IdYJxIAN\"},\"Id\":\"a03Vo00001IdYJxIAN\",\"Name\":\"Quantitative Developer\",\"Assigned_Internal_Recruiter__c\":\"005j000000EWCJ4AAP\",\"Job_Code__c\":\"CSS-0014300\",\"Experience__c\":\"Experienced Professionals\",\"Company__c\":\"001j000000VbgA3AAJ\",\"Posted_Location__c\":\"London\",\"Area__c\":\"Investing\",\"Team__c\":\"Systematic Investing\",\"Summary__c\":\"Looking for a Quantitative Developer seeking opportunities across the full startup lifecycle—from building from scratch to scaling and expansion—while gaining an understanding of how technology drives efficiency and impact.\",\"Job_Description_External__c\":\"\u003Ch3\u003EAbout Cubist:\u003C/h3\u003E\\n\u003Cp\u003ECubist 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.\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EAbout the team:\u003C/h3\u003E\\n\u003Cp\u003EThe team focuses on systematic equity trading and, while established, is scaling its trading activity, offering an opportunity to join at a key stage and contribute across multiple 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. We require London based in the short term to maximize team efficiency but are flexible in location in the medium and long term. \u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003ERole/Responsibilities:\u003C/h3\u003E\\n\u003Cp\u003EAn ideal growth role for a developer seeking opportunities across the full startup lifecycle—from building from scratch to scaling and expansion—while gaining an understanding of how technology drives efficiency and impact.\u003C/p\u003E\u003Cp\u003E \u003C/p\u003E\u003Cp\u003EResponsibilities may include:\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EBuilding components for all aspects of live trading and research environments.\u003C/li\u003E\u003Cli\u003EDriving automation and robustness of the team’s processes.\u003C/li\u003E\u003Cli\u003EDeveloping robust data checking and handling procedures.\u003C/li\u003E\u003Cli\u003EMonitoring and troubleshooting any issues that should arise.\u003C/li\u003E\u003Cli\u003EShared responsibility for timely and correct operation of trading systems.\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003ERequirements:\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EBachelor’s degree or equivalent in computer science or other STEM discipline.\u003C/li\u003E\u003Cli\u003E2+ years of commercial experience with Python and its data science libraries.\u003C/li\u003E\u003Cli\u003EExperience with Linux and basic bash scripting.\u003C/li\u003E\u003Cli\u003ESolid understanding of computation, OOP/architecture design, and data engineering.\u003C/li\u003E\u003Cli\u003EKnowledge and experience with trading systems, e.g., transaction costs modelling, optimization.\u003C/li\u003E\u003Cli\u003EAccountable, self-driven, with high standards for deliverables and performance.\u003C/li\u003E\u003Cli\u003EAbility to work and deliver in a fast pace.\u003C/li\u003E\u003Cli\u003EAbility to balance attention to detail with execution and delivery focus in a pragmatic manner.\u003C/li\u003E\u003Cli\u003EAbility to work with ambiguous requirements.\u003C/li\u003E\u003Cli\u003ECommercial use of cloud compute and containers a plus.\u003C/li\u003E\u003Cli\u003EStrong analytical skills and command of statistics a plus.\u003C/li\u003E\u003Cli\u003ECommitment to the highest ethical standards. \u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003E\u003C/h3\u003E\\n\u003Cbr\u003E\u003Ch3\u003E\u003C/h3\u003E\\n\u003Cbr\u003E\",\"Japanese_Job_Description_External__c\":\"\u003Cbr\u003E\u003Cbr\u003E\u003Cbr\u003E\",\"Transcript_Optional__c\":false,\"RecordTypeId\":\"012j0000000tcfpAAA\",\"Apply_Now_URL__c\":\"https://grnh.se/itw3rm132us\",\"Type__c\":\"Full Time\",\"LastModifiedDate\":\"2026-01-20T20:35:31.000+0000\",\"Location__c\":\"London\",\"Company__r\":{\"attributes\":{\"type\":\"Account\",\"url\":\"/services/data/v65.0/sobjects/Account/001j000000VbgA3AAJ\"},\"Business__c\":\"Cubist\",\"Name\":\"Cubist Systematic Strategies, LLC\",\"Id\":\"001j000000VbgA3AAJ\",\"RecordTypeId\":\"012j0000000tIlgAAE\"},\"RecordType\":{\"attributes\":{\"type\":\"RecordType\",\"url\":\"/services/data/v65.0/sobjects/RecordType/012j0000000tcfpAAA\"},\"DeveloperName\":\"Cubist\",\"Name\":\"Cubist\",\"Id\":\"012j0000000tcfpAAA\"}},\"friendlyJobName\":\"quantitative-developer\",\"formattedTeam\":\"Systematic Investing\",\"formattedLocation\":\"London\",\"formattedArea\":\"Investing\"}');
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