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Hedge Funds
Quantitative Analyst/Software Developer
at Point72
JuniorNo visa sponsorshipPython
Posted 18 hours ago
No clicks
- Compensation
- $200,000 – $300,000 USD
- City
- New York City
- Country
- United States
Currency: $ (USD)
Hybrid role combining quantitative research and software development on KEPL at Cubist Systematic Strategies. Responsibilities include conducting quantitative research, building research and trading technologies, maintaining production trading capacity, and expanding systems to new markets and asset classes. The role provides full-stack exposure and focuses on improving research infrastructure to boost trading productivity. Strong programming skills in Python 3 and either C++ or Java, plus familiarity with Linux, are required.
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Quantitative Analyst/Software Developer Career
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P72 Careers - Header
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Quantitative Analyst/Software Developer
Apply Now
Experience
Early Career
Location
New York
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 Our Team:
KEPL is a fast-growing team at Cubist Systematic Strategies. We are specialized in trading medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech. We have an open and collaborative culture, and we value rigorous research and innovative technologies. We are actively expanding to new markets and assets classes.
Role:
We are looking for full-time quantitative research analysts and software developers to join our fast-growing team and contribute to multiple new initiatives that aim to expand our business. The candidate should have a passion for innovation to solve research and trading problems. In this team, the candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative research and trading. The candidate will play an essential role for the team’s successful expansion. The candidate will also collaborate with other team members to innovate our research infrastructure which will take our research and trading capability to the next level.
Responsibilities:
- Conduct quantitative research to support the team’s investment process.
- Build technologies that bolster research & trading productivity.
- Develop, maintain, and improve the production trading capacity.
- Expand the system to new markets and asset classes.
Requirements:
- Masters or PhD degree in math, physics, computer science, engineering, or other related discipline.
- 1-3 years of professional experience in software development or quantitative research.
- Strong combination of quantitative skills and programming skills.
- Proficiency in Python 3 and either C++ or Java.
- Familiarity with the Linux environment.
The annual base salary range for this role is $200,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
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 Our Team:
\nKEPL is a fast-growing team at Cubist Systematic Strategies. We are specialized in trading medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech. We have an open and collaborative culture, and we value rigorous research and innovative technologies. We are actively expanding to new markets and assets classes.
Role:
\nWe are looking for full-time quantitative research analysts and software developers to join our fast-growing team and contribute to multiple new initiatives that aim to expand our business. The candidate should have a passion for innovation to solve research and trading problems. In this team, the candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative research and trading. The candidate will play an essential role for the team’s successful expansion. The candidate will also collaborate with other team members to innovate our research infrastructure which will take our research and trading capability to the next level.
Responsibilities:
\n- Conduct quantitative research to support the team’s investment process.
- Build technologies that bolster research & trading productivity.
- Develop, maintain, and improve the production trading capacity.
- Expand the system to new markets and asset classes.
Requirements:
\n- Masters or PhD degree in math, physics, computer science, engineering, or other related discipline.
- 1-3 years of professional experience in software development or quantitative research.
- Strong combination of quantitative skills and programming skills.
- Proficiency in Python 3 and either C++ or Java.
- Familiarity with the Linux environment.
The annual base salary range for this role is $200,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
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The candidate should have a passion for innovation to solve research and trading problems. In this team, the candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative research and trading. The candidate will play an essential role for the team’s successful expansion. The candidate will also collaborate with other team members to innovate our research infrastructure which will take our research and trading capability to the next level.\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EResponsibilities:\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EConduct quantitative research to support the team’s investment process.\u003C/li\u003E\u003Cli\u003EBuild technologies that bolster research & trading productivity.\u003C/li\u003E\u003Cli\u003EDevelop, maintain, and improve the production trading capacity.\u003C/li\u003E\u003Cli\u003EExpand the system to new markets and asset classes. \u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003ERequirements:\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EMasters or PhD degree in math, physics, computer science, engineering, or other related discipline.\u003C/li\u003E\u003Cli\u003E1-3 years of professional experience in software development or quantitative research.\u003C/li\u003E\u003Cli\u003EStrong combination of quantitative skills and programming skills.\u003C/li\u003E\u003Cli\u003EProficiency in Python 3 and either C++ or Java.\u003C/li\u003E\u003Cli\u003EFamiliarity with the Linux environment.\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Cp\u003EThe annual base salary range for this role is $200,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. 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Quantitative Analyst/Software Developer
at Point72
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Hedge Funds
Quantitative Analyst/Software Developer
at Point72
JuniorNo visa sponsorshipPython
Posted 18 hours ago
No clicks
- Compensation
- $200,000 – $300,000 USD
- City
- New York City
- Country
- United States
Currency: $ (USD)
Hybrid role combining quantitative research and software development on KEPL at Cubist Systematic Strategies. Responsibilities include conducting quantitative research, building research and trading technologies, maintaining production trading capacity, and expanding systems to new markets and asset classes. The role provides full-stack exposure and focuses on improving research infrastructure to boost trading productivity. Strong programming skills in Python 3 and either C++ or Java, plus familiarity with Linux, are required.
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Quantitative Analyst/Software Developer Career
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P72 Careers - Header
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Quantitative Analyst/Software Developer
Apply Now
Experience
Early Career
Location
New York
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 Our Team:
KEPL is a fast-growing team at Cubist Systematic Strategies. We are specialized in trading medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech. We have an open and collaborative culture, and we value rigorous research and innovative technologies. We are actively expanding to new markets and assets classes.
Role:
We are looking for full-time quantitative research analysts and software developers to join our fast-growing team and contribute to multiple new initiatives that aim to expand our business. The candidate should have a passion for innovation to solve research and trading problems. In this team, the candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative research and trading. The candidate will play an essential role for the team’s successful expansion. The candidate will also collaborate with other team members to innovate our research infrastructure which will take our research and trading capability to the next level.
Responsibilities:
- Conduct quantitative research to support the team’s investment process.
- Build technologies that bolster research & trading productivity.
- Develop, maintain, and improve the production trading capacity.
- Expand the system to new markets and asset classes.
Requirements:
- Masters or PhD degree in math, physics, computer science, engineering, or other related discipline.
- 1-3 years of professional experience in software development or quantitative research.
- Strong combination of quantitative skills and programming skills.
- Proficiency in Python 3 and either C++ or Java.
- Familiarity with the Linux environment.
The annual base salary range for this role is $200,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
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 Our Team:
\nKEPL is a fast-growing team at Cubist Systematic Strategies. We are specialized in trading medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech. We have an open and collaborative culture, and we value rigorous research and innovative technologies. We are actively expanding to new markets and assets classes.
Role:
\nWe are looking for full-time quantitative research analysts and software developers to join our fast-growing team and contribute to multiple new initiatives that aim to expand our business. The candidate should have a passion for innovation to solve research and trading problems. In this team, the candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative research and trading. The candidate will play an essential role for the team’s successful expansion. The candidate will also collaborate with other team members to innovate our research infrastructure which will take our research and trading capability to the next level.
Responsibilities:
\n- Conduct quantitative research to support the team’s investment process.
- Build technologies that bolster research & trading productivity.
- Develop, maintain, and improve the production trading capacity.
- Expand the system to new markets and asset classes.
Requirements:
\n- Masters or PhD degree in math, physics, computer science, engineering, or other related discipline.
- 1-3 years of professional experience in software development or quantitative research.
- Strong combination of quantitative skills and programming skills.
- Proficiency in Python 3 and either C++ or Java.
- Familiarity with the Linux environment.
The annual base salary range for this role is $200,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
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