Cubist Systematic Strategies (an affiliate of Point72) is seeking quantitative researcher interns for summer 2026 to work on systematic, medium-frequency statistical arbitrage trading strategies. Interns will receive rigorous training and work closely with full-time researchers to develop and test new quant trading models with real-world impact. Ideal candidates are advanced quantitative students (typical interns come from top PhD programs) with strong analytical skills and programming ability in Python or C/C++. Strong probability, statistics and computational math knowledge is required, and outstanding interns may be considered for full-time offers after the internship.
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 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 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 “2026 QR Summer Internship Application” in the subject line. When your application is received, we will consider you for all similar positions at Cubist.
Role / Experience:
We are looking for exceptional students to be our quantitative researcher interns for the summer of 2026. An ideal candidate should have a strong passion and initiative to work in a start-up environment. He/she should have strong analytical skills and be able to solve hard problems rigorously. Our typical intern candidates come from quantitative PhD programs of top US universities.
Our internship program offers the unique KEPL experience. During the internship, our intern will receive rigorous and comprehensive trainings. He/she will develop strong research skills through working closely with our full-time researchers on brand new quant trading models with real-world impact. We will consider full-time offers for interns after the internship.
Requirements:
PhD candidate in math/physics/statistics/EE/CS, or other quantitative fields
Strong knowledge of computational math, probability, and statistics
Strong analytical skills, with attention to details
Willing to work in a fast-paced start-up environment
Willing to learn and to take ownership
Strong programming skills in Python or C/C++
Good communication skills
Commitment to the highest ethical standards
The annual base salary is $240,000-$300,000 (USD) which will be prorated based on internship start and end date. 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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About Our Firm:
\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.
About Our Team:
\n
KEPL is a fast-growing team at Cubist Systematic Strategies. We are specialized in 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 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 “2026 QR Summer Internship Application” in the subject line. When your application is received, we will consider you for all similar positions at Cubist.
Role / Experience:
\n
We are looking for exceptional students to be our quantitative researcher interns for the summer of 2026. An ideal candidate should have a strong passion and initiative to work in a start-up environment. He/she should have strong analytical skills and be able to solve hard problems rigorously. Our typical intern candidates come from quantitative PhD programs of top US universities.
Our internship program offers the unique KEPL experience. During the internship, our intern will receive rigorous and comprehensive trainings. He/she will develop strong research skills through working closely with our full-time researchers on brand new quant trading models with real-world impact. We will consider full-time offers for interns after the internship.
Requirements:
\n
PhD candidate in math/physics/statistics/EE/CS, or other quantitative fields
Strong knowledge of computational math, probability, and statistics
Strong analytical skills, with attention to details
Willing to work in a fast-paced start-up environment
Willing to learn and to take ownership
Strong programming skills in Python or C/C++
Good communication skills
Commitment to the highest ethical standards
The annual base salary is $240,000-$300,000 (USD) which will be prorated based on internship start and end date. 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 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 Our Team:\u003C/h3\u003E\\n\u003Cp\u003EKEPL is a fast-growing team at Cubist Systematic Strategies. We are specialized in 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 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.\u003C/p\u003E\u003Cp\u003EPlease send CVs to \u003Ca href=\\\"mailto:KEPL-talent@cubistsystematic.com\\\" target=\\\"_blank\\\"\u003EKEPL-talent@cubistsystematic.com\u003C/a\u003E with \u003Cstrong\u003E“2026 QR Summer Internship Application” \u003C/strong\u003Ein the subject line. When your application is received, we will consider you for all similar positions at Cubist.\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003ERole / Experience:\u003C/h3\u003E\\n\u003Cp\u003EWe are looking for exceptional students to be our quantitative researcher interns for\u003Cstrong\u003E the summer of 2026\u003C/strong\u003E. An ideal candidate should have a strong passion and initiative to work in a start-up environment. He/she should have strong analytical skills and be able to solve hard problems rigorously. Our typical intern candidates come from quantitative PhD programs of top US universities.\u003C/p\u003E\u003Cp\u003EOur internship program offers the unique KEPL experience. During the internship, our intern will receive rigorous and comprehensive trainings. He/she will develop strong research skills through working closely with our full-time researchers on brand new quant trading models with real-world impact. 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Cubist Systematic Strategies (an affiliate of Point72) is seeking quantitative researcher interns for summer 2026 to work on systematic, medium-frequency statistical arbitrage trading strategies. Interns will receive rigorous training and work closely with full-time researchers to develop and test new quant trading models with real-world impact. Ideal candidates are advanced quantitative students (typical interns come from top PhD programs) with strong analytical skills and programming ability in Python or C/C++. Strong probability, statistics and computational math knowledge is required, and outstanding interns may be considered for full-time offers after the internship.
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 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 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 “2026 QR Summer Internship Application” in the subject line. When your application is received, we will consider you for all similar positions at Cubist.
Role / Experience:
We are looking for exceptional students to be our quantitative researcher interns for the summer of 2026. An ideal candidate should have a strong passion and initiative to work in a start-up environment. He/she should have strong analytical skills and be able to solve hard problems rigorously. Our typical intern candidates come from quantitative PhD programs of top US universities.
Our internship program offers the unique KEPL experience. During the internship, our intern will receive rigorous and comprehensive trainings. He/she will develop strong research skills through working closely with our full-time researchers on brand new quant trading models with real-world impact. We will consider full-time offers for interns after the internship.
Requirements:
PhD candidate in math/physics/statistics/EE/CS, or other quantitative fields
Strong knowledge of computational math, probability, and statistics
Strong analytical skills, with attention to details
Willing to work in a fast-paced start-up environment
Willing to learn and to take ownership
Strong programming skills in Python or C/C++
Good communication skills
Commitment to the highest ethical standards
The annual base salary is $240,000-$300,000 (USD) which will be prorated based on internship start and end date. 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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About Our Firm:
\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.
About Our Team:
\n
KEPL is a fast-growing team at Cubist Systematic Strategies. We are specialized in 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 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 “2026 QR Summer Internship Application” in the subject line. When your application is received, we will consider you for all similar positions at Cubist.
Role / Experience:
\n
We are looking for exceptional students to be our quantitative researcher interns for the summer of 2026. An ideal candidate should have a strong passion and initiative to work in a start-up environment. He/she should have strong analytical skills and be able to solve hard problems rigorously. Our typical intern candidates come from quantitative PhD programs of top US universities.
Our internship program offers the unique KEPL experience. During the internship, our intern will receive rigorous and comprehensive trainings. He/she will develop strong research skills through working closely with our full-time researchers on brand new quant trading models with real-world impact. We will consider full-time offers for interns after the internship.
Requirements:
\n
PhD candidate in math/physics/statistics/EE/CS, or other quantitative fields
Strong knowledge of computational math, probability, and statistics
Strong analytical skills, with attention to details
Willing to work in a fast-paced start-up environment
Willing to learn and to take ownership
Strong programming skills in Python or C/C++
Good communication skills
Commitment to the highest ethical standards
The annual base salary is $240,000-$300,000 (USD) which will be prorated based on internship start and end date. 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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When your application is received, we will consider you for all similar positions at Cubist.\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003ERole / Experience:\u003C/h3\u003E\\n\u003Cp\u003EWe are looking for exceptional students to be our quantitative researcher interns for\u003Cstrong\u003E the summer of 2026\u003C/strong\u003E. An ideal candidate should have a strong passion and initiative to work in a start-up environment. He/she should have strong analytical skills and be able to solve hard problems rigorously. Our typical intern candidates come from quantitative PhD programs of top US universities.\u003C/p\u003E\u003Cp\u003EOur internship program offers the unique KEPL experience. During the internship, our intern will receive rigorous and comprehensive trainings. He/she will develop strong research skills through working closely with our full-time researchers on brand new quant trading models with real-world impact. 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