Hedge Funds

Quantitative Portfolio Manager

at Point72

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted a day ago

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Compensation: $200,000 – $300,000 USD
City: New York City
Country: United States

Join Cubist to manage systematic, computer-driven trading strategies across equities, futures and FX, designing and engineering quantitative models that forecast risk, return, and trading costs. You will dynamically manage portfolio risk, oversee automated trade execution, supervise a small team of researchers and developers, and conduct ongoing research to enhance and expand strategies.

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Quantitative Portfolio Manager Career

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Quantitative Portfolio Manager

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Experience

Experienced Professionals

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.

Role

Dynamically managing portfolio risk by evaluating historical and real-time strategy performance.
Overseeing automated trade execution and monitoring transaction costs.
Supervising a small team of researchers and developers on a daily basis.
Designing, researching, and managing sophisticated investment strategies by creating and engineering advance quantitative financial computer modeling systems to aid in analysis and research.
Performing research to acquire historical and production data sources needed to build investment models.
Designing and developing quantitative mathematical algorithms to link the diverse data sets from various providers.
Engineering investment models that will make the buy and sell recommendations for the portfolios using advanced quantitative mathematic statistics and investment theory to design and program strategies that explicitly forecast risk, return, and trading costs.
Using quantitative models to value securities.
Conducting ongoing, cutting-edge quantitative research and analysis to enhance existing strategies and to expand into new markets.
Developing aspects of successful statistical models, focusing on forecasting and optimization.
Expanding trading universe and volume and expanding to other exchanges and products.

Requirements

Advance degree (Masters or Ph.D.) in a computational or analytical field.
Minimum of 10 years’ experience developing, researching or implementing quantitative models for equities, futures and/or FX.
Hands on experience with all aspects of the research process, including methodology section, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.
Innovative, intellectually driven, with an intense curiosity about financial markets and human behavior.

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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About Cubist

Role

Dynamically managing portfolio risk by evaluating historical and real-time strategy performance.
Overseeing automated trade execution and monitoring transaction costs.
Supervising a small team of researchers and developers on a daily basis.
Designing, researching, and managing sophisticated investment strategies by creating and engineering advance quantitative financial computer modeling systems to aid in analysis and research.
Performing research to acquire historical and production data sources needed to build investment models.
Designing and developing quantitative mathematical algorithms to link the diverse data sets from various providers.
Engineering investment models that will make the buy and sell recommendations for the portfolios using advanced quantitative mathematic statistics and investment theory to design and program strategies that explicitly forecast risk, return, and trading costs.
Using quantitative models to value securities.
Conducting ongoing, cutting-edge quantitative research and analysis to enhance existing strategies and to expand into new markets.
Developing aspects of successful statistical models, focusing on forecasting and optimization.
Expanding trading universe and volume and expanding to other exchanges and products.

Requirements

Advance degree (Masters or Ph.D.) in a computational or analytical field.
Minimum of 10 years’ experience developing, researching or implementing quantitative models for equities, futures and/or FX.
Hands on experience with all aspects of the research process, including methodology section, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.
Innovative, intellectually driven, with an intense curiosity about financial markets and human behavior.

","title":"Quantitative Portfolio Manager","@type":"JobPosting","@context":"http://schema.org/"} CSJobDetailModule.init('{\"lastModifiedDateFormatted\":\"2025-12-01\",\"job\":{\"attributes\":{\"type\":\"Job__c\",\"url\":\"/services/data/v65.0/sobjects/Job__c/a035b00001Su1UEAAZ\"},\"Id\":\"a035b00001Su1UEAAZ\",\"Name\":\"Quantitative Portfolio Manager\",\"Assigned_Internal_Recruiter__c\":\"005j000000EWCJ4AAP\",\"Job_Code__c\":\"CSS-0012597\",\"Experience__c\":\"Experienced Professionals\",\"Company__c\":\"001j000000VbgA3AAJ\",\"Posted_Location__c\":\"New York\",\"Area__c\":\"Investing\",\"Team__c\":\"Systematic Investing\",\"Summary__c\":\"We are constantly looking for Portfolio Managers who have an outstanding academic and professional track record, with hands on experience running systematic, statistically-driven, scalable trading strategies.\",\"Job_Description_External__c\":\"\u003Ch3\u003EAbout Cubist\u003C/h3\u003E\\n\u003Cp\u003ECubist 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.\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003ERole\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EDynamically managing portfolio risk by evaluating historical and real-time strategy performance.\u003C/li\u003E\u003Cli\u003EOverseeing automated trade execution and monitoring transaction costs.\u003C/li\u003E\u003Cli\u003ESupervising a small team of researchers and developers on a daily basis.\u003C/li\u003E\u003Cli\u003EDesigning, researching, and managing sophisticated investment strategies by creating and engineering advance quantitative financial computer modeling systems to aid in analysis and research.\u003C/li\u003E\u003Cli\u003EPerforming research to acquire historical and production data sources needed to build investment models.\u003C/li\u003E\u003Cli\u003EDesigning and developing quantitative mathematical algorithms to link the diverse data sets from various providers.\u003C/li\u003E\u003Cli\u003EEngineering investment models that will make the buy and sell recommendations for the portfolios using advanced quantitative mathematic statistics and investment theory to design and program strategies that explicitly forecast risk, return, and trading costs.\u003C/li\u003E\u003Cli\u003EUsing quantitative models to value securities.\u003C/li\u003E\u003Cli\u003EConducting ongoing, cutting-edge quantitative research and analysis to enhance existing strategies and to expand into new markets.\u003C/li\u003E\u003Cli\u003EDeveloping aspects of successful statistical models, focusing on forecasting and optimization.\u003C/li\u003E\u003Cli\u003EExpanding trading universe and volume and expanding to other exchanges and products.\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003ERequirements\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EAdvance degree (Masters or Ph.D.) in a computational or analytical field.\u003C/li\u003E\u003Cli\u003EMinimum of 10 years’ experience developing, researching or implementing quantitative models for equities, futures and/or FX.\u003C/li\u003E\u003Cli\u003EHands on experience with all aspects of the research process, including methodology section, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.\u003C/li\u003E\u003Cli\u003EInnovative, intellectually driven, with an intense curiosity about financial markets and human behavior. \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. 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.\u003C/p\u003E\u003Cbr\u003E\",\"Japanese_Job_Description_External__c\":\"\u003Cbr\u003E\u003Cbr\u003E\u003Cbr\u003E\",\"Transcript_Optional__c\":false,\"RecordTypeId\":\"012j0000000tcfpAAA\",\"Apply_Now_URL__c\":\"https://grnh.se/0e6f1b6f2us\",\"Type__c\":\"Full Time\",\"LastModifiedDate\":\"2025-12-01T10:41:00.000+0000\",\"Location__c\":\"London\",\"Company__r\":{\"attributes\":{\"type\":\"Account\",\"url\":\"/services/data/v65.0/sobjects/Account/001j000000VbgA3AAJ\"},\"Business__c\":\"Cubist\",\"Name\":\"Cubist Systematic Strategies, LLC\",\"Id\":\"001j000000VbgA3AAJ\",\"RecordTypeId\":\"012j0000000tIlgAAE\"},\"RecordType\":{\"attributes\":{\"type\":\"RecordType\",\"url\":\"/services/data/v65.0/sobjects/RecordType/012j0000000tcfpAAA\"},\"DeveloperName\":\"Cubist\",\"Name\":\"Cubist\",\"Id\":\"012j0000000tcfpAAA\"}},\"friendlyJobName\":\"quantitative-portfolio-manager\",\"formattedTeam\":\"Systematic Investing\",\"formattedLocation\":\"New York\",\"formattedArea\":\"Investing\"}');

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