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Quantitative Developer

at Point72

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Hedge Funds

Quantitative Developer

at Point72

Mid LevelNo visa sponsorshipPython

Posted 18 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Hong Kong
Country
China

Build, optimize and maintain the research and production pipeline for a medium-frequency equity portfolio, including data processing, model building, back-testing and live monitoring. Improve production monitoring tools, optimise performance in research and production environments, and troubleshoot production issues. This role requires strong software engineering chops, ownership mentality, and the ability to work in a fast-paced quantitative trading environment.

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Quantitative Developer Career
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P72 Careers - Header
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Locations
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Quantitative Developer

Apply Now
Experience

Experienced Professionals

Location

Hong Kong

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.


Role:

The candidate will be responsible for designing, implementing, and optimizing the research and production pipeline for a medium frequency equity portfolio—maintaining and improving production monitoring tools, and helping with production issues. An ideal candidate should have a passion for technology, take ownership of their work, and thrive in a dynamic and fast-paced work environment. 


Responsibilities:

  • Designing, implementing, and maintaining research and production pipeline—including data processing, model building, back-testing, and live monitoring toolkits.
  • Performance optimization in both research and production environments.
  • Troubleshooting and resolving production issues. 

Requirements:

  • Bachelor’s degree or higher in computer science or other quantitative discipline.
  • 3+ years of professional programming experience, preferably in a big tech firm or a quantitative trading team.
  • Advanced proficiency in Python and its ecosystem.
  • Fast learner, strong passion for technology, and keen to explore the latest technological advancements.
  • Experience in software architecture and engineering is a plus.
  • Experience in distributed computing is a plus.
  • Strong quantitative skills and knowledge in statistics and linear algebra is a plus.
  • Commitment to the highest ethical standards. 



Apply Now

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  • Résumé
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P72 Careers - Footer
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About Cubist:

\n

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:

\n

The candidate will be responsible for designing, implementing, and optimizing the research and production pipeline for a medium frequency equity portfolio—maintaining and improving production monitoring tools, and helping with production issues. An ideal candidate should have a passion for technology, take ownership of their work, and thrive in a dynamic and fast-paced work environment.


Responsibilities:

\n
  • Designing, implementing, and maintaining research and production pipeline—including data processing, model building, back-testing, and live monitoring toolkits.
  • Performance optimization in both research and production environments.
  • Troubleshooting and resolving production issues.

Requirements:

\n
  • Bachelor’s degree or higher in computer science or other quantitative discipline.
  • 3+ years of professional programming experience, preferably in a big tech firm or a quantitative trading team.
  • Advanced proficiency in Python and its ecosystem.
  • Fast learner, strong passion for technology, and keen to explore the latest technological advancements.
  • Experience in software architecture and engineering is a plus.
  • Experience in distributed computing is a plus.
  • Strong quantitative skills and knowledge in statistics and linear algebra is a plus.
  • Commitment to the highest ethical standards.

\n

\n
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Quantitative Developer

at Point72

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Hedge Funds

Quantitative Developer

at Point72

Mid LevelNo visa sponsorshipPython

Posted 18 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Hong Kong
Country
China

Build, optimize and maintain the research and production pipeline for a medium-frequency equity portfolio, including data processing, model building, back-testing and live monitoring. Improve production monitoring tools, optimise performance in research and production environments, and troubleshoot production issues. This role requires strong software engineering chops, ownership mentality, and the ability to work in a fast-paced quantitative trading environment.

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Quantitative Developer Career
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Quantitative Developer

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Experience

Experienced Professionals

Location

Hong Kong

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.


Role:

The candidate will be responsible for designing, implementing, and optimizing the research and production pipeline for a medium frequency equity portfolio—maintaining and improving production monitoring tools, and helping with production issues. An ideal candidate should have a passion for technology, take ownership of their work, and thrive in a dynamic and fast-paced work environment. 


Responsibilities:

  • Designing, implementing, and maintaining research and production pipeline—including data processing, model building, back-testing, and live monitoring toolkits.
  • Performance optimization in both research and production environments.
  • Troubleshooting and resolving production issues. 

Requirements:

  • Bachelor’s degree or higher in computer science or other quantitative discipline.
  • 3+ years of professional programming experience, preferably in a big tech firm or a quantitative trading team.
  • Advanced proficiency in Python and its ecosystem.
  • Fast learner, strong passion for technology, and keen to explore the latest technological advancements.
  • Experience in software architecture and engineering is a plus.
  • Experience in distributed computing is a plus.
  • Strong quantitative skills and knowledge in statistics and linear algebra is a plus.
  • Commitment to the highest ethical standards. 



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About Cubist:

\n

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:

\n

The candidate will be responsible for designing, implementing, and optimizing the research and production pipeline for a medium frequency equity portfolio—maintaining and improving production monitoring tools, and helping with production issues. An ideal candidate should have a passion for technology, take ownership of their work, and thrive in a dynamic and fast-paced work environment.


Responsibilities:

\n
  • Designing, implementing, and maintaining research and production pipeline—including data processing, model building, back-testing, and live monitoring toolkits.
  • Performance optimization in both research and production environments.
  • Troubleshooting and resolving production issues.

Requirements:

\n
  • Bachelor’s degree or higher in computer science or other quantitative discipline.
  • 3+ years of professional programming experience, preferably in a big tech firm or a quantitative trading team.
  • Advanced proficiency in Python and its ecosystem.
  • Fast learner, strong passion for technology, and keen to explore the latest technological advancements.
  • Experience in software architecture and engineering is a plus.
  • Experience in distributed computing is a plus.
  • Strong quantitative skills and knowledge in statistics and linear algebra is a plus.
  • Commitment to the highest ethical standards.

\n

\n
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