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Quantitative Software Developer

at Point72

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Point72 logo
Hedge Funds

Quantitative Software Developer

at Point72

JuniorNo visa sponsorshipPython

Posted 18 hours ago

No clicks

Compensation
$200,000 – $300,000 USD

Currency: $ (USD)

City
New York City
Country
United States

Join a fast-growing Cubist Systematic team as a quantitative software developer to improve data pipelines, build research and trading tools, and support expansion into new markets and asset classes. The role provides full-stack exposure across data, research, and trading systems and requires strong quantitative and programming skills. You will operate in a fast-paced environment managing day-to-day operations and enabling research efficiency through robust ETL and tooling.

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Quantitative Software Developer Career
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P72 Careers - Header
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What We Do
Learn about the strategies and asset classes that make up our global business.
Our Values
See how we support our people, communities, and the planet through our ESG efforts.
Leadership
Meet the team responsible for shaping our firm.
Locations
Find us in financial hubs across the globe as we pursue the world’s best talent.
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Quantitative Software Developer

Apply Now
Experience

Early Career

Location

New York

Focus

Systematic Investing

Business

Cubist

About Cubist:

Cubist Systematic Strategies is one of the world’s premier investment firms. The firm 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 medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms, including: D.E. Shaw, Two Sigma, Citadel, Meta, Google, etc. We have an open and collaborative culture, and we value rigorous research and innovative technologies.

Please send CVs to kepl-talent@cubistsystematic.com with “2025 KEPL QD Application” in the subject line.


Role:

We are looking for a quantitative software developer to join our team and contribute to multiple initiatives that aim to expand our business. The candidate should be passionate about financial market, data and technology. In this team, the candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative trading.


Responsibilities:

  • Improve data ETL pipeline and build tools to analyze new data efficiently.
  • Build technologies to bolster research & trading efficiency.
  • Expand to new markets and asset classes.
  • Manage day-to-day operations in a fast-paced environment.

Requirements:

  • Master/PhD degree in math, computer science, engineering, or other related fields.
  • 1-3 years of professional experience in software development or data science/analytics.
  • Strong combination of quantitative skills and programming skills.
  • Proficiency in Python; knowledge of common data analytics tools (e.g., SQL, pandas) is a plus.
  • Familiarity with the Linux environment.
  • Excellent written and verbal communication skills.
  • Willing to work in a fast-paced start-up environment.
  • Commitment to the highest ethical standards.

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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Apply Now

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P72 Careers - Footer
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About Cubist:

\n

Cubist Systematic Strategies is one of the world’s premier investment firms. The firm 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:

\n

KEPL is a fast-growing team at Cubist Systematic Strategies. We are specialized in medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms, including: D.E. Shaw, Two Sigma, Citadel, Meta, Google, etc. We have an open and collaborative culture, and we value rigorous research and innovative technologies.

Please send CVs to kepl-talent@cubistsystematic.com with “2025 KEPL QD Application” in the subject line.


Role:

\n

We are looking for a quantitative software developer to join our team and contribute to multiple initiatives that aim to expand our business. The candidate should be passionate about financial market, data and technology. In this team, the candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative trading.


Responsibilities:

\n
  • Improve data ETL pipeline and build tools to analyze new data efficiently.
  • Build technologies to bolster research & trading efficiency.
  • Expand to new markets and asset classes.
  • Manage day-to-day operations in a fast-paced environment.

Requirements:

\n
  • Master/PhD degree in math, computer science, engineering, or other related fields.
  • 1-3 years of professional experience in software development or data science/analytics.
  • Strong combination of quantitative skills and programming skills.
  • Proficiency in Python; knowledge of common data analytics tools (e.g., SQL, pandas) is a plus.
  • Familiarity with the Linux environment.
  • Excellent written and verbal communication skills.
  • Willing to work in a fast-paced start-up environment.
  • Commitment to the highest ethical standards.

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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Quantitative Software Developer

at Point72

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Hedge Funds

Quantitative Software Developer

at Point72

JuniorNo visa sponsorshipPython

Posted 18 hours ago

No clicks

Compensation
$200,000 – $300,000 USD

Currency: $ (USD)

City
New York City
Country
United States

Join a fast-growing Cubist Systematic team as a quantitative software developer to improve data pipelines, build research and trading tools, and support expansion into new markets and asset classes. The role provides full-stack exposure across data, research, and trading systems and requires strong quantitative and programming skills. You will operate in a fast-paced environment managing day-to-day operations and enabling research efficiency through robust ETL and tooling.

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Quantitative Software Developer Career
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P72 Careers - Header
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What We Do
Learn about the strategies and asset classes that make up our global business.
Our Values
See how we support our people, communities, and the planet through our ESG efforts.
Leadership
Meet the team responsible for shaping our firm.
Locations
Find us in financial hubs across the globe as we pursue the world’s best talent.
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Quantitative Software Developer

Apply Now
Experience

Early Career

Location

New York

Focus

Systematic Investing

Business

Cubist

About Cubist:

Cubist Systematic Strategies is one of the world’s premier investment firms. The firm 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 medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms, including: D.E. Shaw, Two Sigma, Citadel, Meta, Google, etc. We have an open and collaborative culture, and we value rigorous research and innovative technologies.

Please send CVs to kepl-talent@cubistsystematic.com with “2025 KEPL QD Application” in the subject line.


Role:

We are looking for a quantitative software developer to join our team and contribute to multiple initiatives that aim to expand our business. The candidate should be passionate about financial market, data and technology. In this team, the candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative trading.


Responsibilities:

  • Improve data ETL pipeline and build tools to analyze new data efficiently.
  • Build technologies to bolster research & trading efficiency.
  • Expand to new markets and asset classes.
  • Manage day-to-day operations in a fast-paced environment.

Requirements:

  • Master/PhD degree in math, computer science, engineering, or other related fields.
  • 1-3 years of professional experience in software development or data science/analytics.
  • Strong combination of quantitative skills and programming skills.
  • Proficiency in Python; knowledge of common data analytics tools (e.g., SQL, pandas) is a plus.
  • Familiarity with the Linux environment.
  • Excellent written and verbal communication skills.
  • Willing to work in a fast-paced start-up environment.
  • Commitment to the highest ethical standards.

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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P72 Careers - Footer
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About Cubist:

\n

Cubist Systematic Strategies is one of the world’s premier investment firms. The firm 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:

\n

KEPL is a fast-growing team at Cubist Systematic Strategies. We are specialized in medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms, including: D.E. Shaw, Two Sigma, Citadel, Meta, Google, etc. We have an open and collaborative culture, and we value rigorous research and innovative technologies.

Please send CVs to kepl-talent@cubistsystematic.com with “2025 KEPL QD Application” in the subject line.


Role:

\n

We are looking for a quantitative software developer to join our team and contribute to multiple initiatives that aim to expand our business. The candidate should be passionate about financial market, data and technology. In this team, the candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative trading.


Responsibilities:

\n
  • Improve data ETL pipeline and build tools to analyze new data efficiently.
  • Build technologies to bolster research & trading efficiency.
  • Expand to new markets and asset classes.
  • Manage day-to-day operations in a fast-paced environment.

Requirements:

\n
  • Master/PhD degree in math, computer science, engineering, or other related fields.
  • 1-3 years of professional experience in software development or data science/analytics.
  • Strong combination of quantitative skills and programming skills.
  • Proficiency in Python; knowledge of common data analytics tools (e.g., SQL, pandas) is a plus.
  • Familiarity with the Linux environment.
  • Excellent written and verbal communication skills.
  • Willing to work in a fast-paced start-up environment.
  • Commitment to the highest ethical standards.

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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Shaw, Two Sigma, Citadel, Meta, Google, etc. We have an open and collaborative culture, and we value rigorous research and innovative technologies.\u003C/p\u003E\u003Cp\u003EPlease send CVs to \u003Ca href=\\\"mailto:kepl-talent@cubistsystematic.com\\\" target=\\\"_blank\\\" style=\\\"font-family: Aptos, sans-serif;\\\"\u003Ekepl-talent@cubistsystematic.com\u003C/a\u003E with \u003Cstrong style=\\\"font-family: Aptos, sans-serif;\\\"\u003E“2025 KEPL QD Application” \u003C/strong\u003Ein the subject line.\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003ERole:\u003C/h3\u003E\\n\u003Cp\u003EWe are looking for a quantitative software developer to join our team and contribute to multiple initiatives that aim to expand our business. The candidate should be passionate about financial market, data and technology. In this team, the candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative trading.\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EResponsibilities:\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EImprove data ETL pipeline and build tools to analyze new data efficiently.\u003C/li\u003E\u003Cli\u003EBuild technologies to bolster research & trading efficiency.\u003C/li\u003E\u003Cli\u003EExpand to new markets and asset classes.\u003C/li\u003E\u003Cli\u003EManage day-to-day operations in a fast-paced environment.\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003ERequirements:\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EMaster/PhD degree in math, computer science, engineering, or other related fields.\u003C/li\u003E\u003Cli\u003E1-3 years of professional experience in software development or data science/analytics.\u003C/li\u003E\u003Cli\u003EStrong combination of quantitative skills and programming skills.\u003C/li\u003E\u003Cli\u003EProficiency in Python; knowledge of common data analytics tools (e.g., SQL, pandas) is a plus.\u003C/li\u003E\u003Cli\u003EFamiliarity with the Linux environment.\u003C/li\u003E\u003Cli\u003EExcellent written and verbal communication skills.\u003C/li\u003E\u003Cli\u003EWilling to work in a fast-paced start-up environment.\u003C/li\u003E\u003Cli\u003ECommitment to the highest ethical standards.\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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