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Hedge Funds
Quantitative Researcher
at Point72
Mid LevelNo visa sponsorshipData Science/AI/ML
Posted a day ago
No clicks
- Compensation
- $175,000 – $200,000 USD
- City
- New York City, Chicago
- Country
- United States
Currency: $ (USD)
Join Cubist's systematic investing team to perform rigorous applied research discovering systematic anomalies in equities, with a focus on intraday/high-frequency opportunities. The role involves end-to-end development including data orchestration, feature engineering, alpha idea generation, simulation, strategy implementation, and performance evaluation. Strong coding in C++ and Python in a Linux environment, experience handling large datasets and exposure to cloud platforms such as AWS are required. The position emphasizes collaboration, independent research ownership, and high ethical standards.
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Quantitative Researcher Career
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Quantitative Researcher
Apply Now
Experience
Experienced Professionals
Location
New York | Chicago
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/Responsibilities:
- Perform rigorous applied research to discover systematic anomalies in equities markets
- Present actionable trading ideas and enhance existing strategies
- Identify short term opportunities in the high frequency/intraday space
- Participate in end-to-end development (i.e. data orchestration, alpha idea generation, simulation, strategy implementation, and performance evaluation)
- Contribute towards the team’s research tooling and its efficiency
- Help establish a collaborative mindset and shared ownership
Requirements:
- Bachelor’s degree or higher in mathematics, statistics, computer science, or similar quantitative discipline
- 3+ years of work experience in systematic alpha research in equities using high frequency/intraday data
- Fluency in data science practices, e.g., feature engineering, signal combining
- Technically comfortable handling large datasets
- Comfortable coding in both C++ and Python in a Linux environment
- Exposure working with cloud computing platforms such as AWS
- Highly motivated and willing to take ownership of his/her work
- Collaborative mindset with strong independent research ability
- Commitment to the highest ethical standards
The annual base salary range for this role is $175,000-$200,000 (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.
Role/Responsibilities:
\n- Perform rigorous applied research to discover systematic anomalies in equities markets
- Present actionable trading ideas and enhance existing strategies
- Identify short term opportunities in the high frequency/intraday space
- Participate in end-to-end development (i.e. data orchestration, alpha idea generation, simulation, strategy implementation, and performance evaluation)
- Contribute towards the team’s research tooling and its efficiency
- Help establish a collaborative mindset and shared ownership
Requirements:
\n- Bachelor’s degree or higher in mathematics, statistics, computer science, or similar quantitative discipline
- 3+ years of work experience in systematic alpha research in equities using high frequency/intraday data
- Fluency in data science practices, e.g., feature engineering, signal combining
- Technically comfortable handling large datasets
- Comfortable coding in both C++ and Python in a Linux environment
- Exposure working with cloud computing platforms such as AWS
- Highly motivated and willing to take ownership of his/her work
- Collaborative mindset with strong independent research ability
- Commitment to the highest ethical standards
The annual base salary range for this role is $175,000-$200,000 (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 Researcher
at Point72
Back to all Data Science / AI / ML jobs
Hedge Funds
Quantitative Researcher
at Point72
Mid LevelNo visa sponsorshipData Science/AI/ML
Posted a day ago
No clicks
- Compensation
- $175,000 – $200,000 USD
- City
- New York City, Chicago
- Country
- United States
Currency: $ (USD)
Join Cubist's systematic investing team to perform rigorous applied research discovering systematic anomalies in equities, with a focus on intraday/high-frequency opportunities. The role involves end-to-end development including data orchestration, feature engineering, alpha idea generation, simulation, strategy implementation, and performance evaluation. Strong coding in C++ and Python in a Linux environment, experience handling large datasets and exposure to cloud platforms such as AWS are required. The position emphasizes collaboration, independent research ownership, and high ethical standards.
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Quantitative Researcher Career
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P72 Careers - Header
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Quantitative Researcher
Apply Now
Experience
Experienced Professionals
Location
New York | Chicago
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/Responsibilities:
- Perform rigorous applied research to discover systematic anomalies in equities markets
- Present actionable trading ideas and enhance existing strategies
- Identify short term opportunities in the high frequency/intraday space
- Participate in end-to-end development (i.e. data orchestration, alpha idea generation, simulation, strategy implementation, and performance evaluation)
- Contribute towards the team’s research tooling and its efficiency
- Help establish a collaborative mindset and shared ownership
Requirements:
- Bachelor’s degree or higher in mathematics, statistics, computer science, or similar quantitative discipline
- 3+ years of work experience in systematic alpha research in equities using high frequency/intraday data
- Fluency in data science practices, e.g., feature engineering, signal combining
- Technically comfortable handling large datasets
- Comfortable coding in both C++ and Python in a Linux environment
- Exposure working with cloud computing platforms such as AWS
- Highly motivated and willing to take ownership of his/her work
- Collaborative mindset with strong independent research ability
- Commitment to the highest ethical standards
The annual base salary range for this role is $175,000-$200,000 (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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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.
Role/Responsibilities:
\n- Perform rigorous applied research to discover systematic anomalies in equities markets
- Present actionable trading ideas and enhance existing strategies
- Identify short term opportunities in the high frequency/intraday space
- Participate in end-to-end development (i.e. data orchestration, alpha idea generation, simulation, strategy implementation, and performance evaluation)
- Contribute towards the team’s research tooling and its efficiency
- Help establish a collaborative mindset and shared ownership
Requirements:
\n- Bachelor’s degree or higher in mathematics, statistics, computer science, or similar quantitative discipline
- 3+ years of work experience in systematic alpha research in equities using high frequency/intraday data
- Fluency in data science practices, e.g., feature engineering, signal combining
- Technically comfortable handling large datasets
- Comfortable coding in both C++ and Python in a Linux environment
- Exposure working with cloud computing platforms such as AWS
- Highly motivated and willing to take ownership of his/her work
- Collaborative mindset with strong independent research ability
- Commitment to the highest ethical standards
The annual base salary range for this role is $175,000-$200,000 (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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