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Hedge Funds
Quant Researcher, Power Dispatch Modeling
at Point72
Mid LevelNo visa sponsorshipPython
Posted 19 hours ago
No clicks
- Compensation
- $150,000 – $250,000 USD
- City
- New York City, Stamford
- Country
- United States
Currency: $ (USD)
The Quant Researcher will design, build, and maintain power dispatch models (SCUC/SCED) for ERCOT and other major US ISOs to simulate grid conditions and marginal pricing. You will implement and run models in Python using commercial optimization solvers (e.g., Gurobi, CPLEX), maintain outputs in an internal database, and continuously test and improve model accuracy. The role collaborates closely with a portfolio manager to optimize inputs and architecture, perform scenario analysis, and communicate results and limitations to the wider investment team.
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Quant Researcher, Power Dispatch Modeling Career
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P72 Careers - Header
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Learn about the culture and community you can expect when you join us.
Define Your Path Students & Early-Career
Experienced Professionals
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Quant Researcher, Power Dispatch Modeling
Apply Now
Experience
Experienced Professionals
Location
New York | Stamford
Focus
Global Macro Investing
Business
Point72
Role/Responsibilities
The Quant Researcher will report to a Stamford based Portfolio Manager and will focus on:
- Building, running, and maintaining power dispatch model for ERCOT and other major US ISOs
- Driving the model’s inputs and architecture to efficiently simulate power grid conditions and marginal pricing
- Continuously testing and improving the model, ensuring it accurately replicates historical conditions and effectively analyzes forward scenarios
- Communicating the model’s results and limitations to the wider investment team
Responsibilities:
- Formulate and build a power dispatch model using Python and a commercial solver
- Collaborate with the PM to optimize model inputs and architecture
- Ensure the model replicates grid operations from historical conditions
- Suggest model improvements to decrease forecast error and improve scenario handling
- Regularly run the model and maintain up-to-date outputs in an internal database
- Communicate results and limitations to the wider investment team, including publishing results to team dashboards
Requirements:
- Master or PhD in operations research, electrical engineering, applied mathematics, or a related quantitative field
- 5+ years of direct experience building power dispatch models (SCUC/SCED) using optimization solvers (Gurobi, CPLEX, etc.)
- Knowledge of power plant dispatch, grid operations (including capacity and AS obligations), and LMP pricing in US power markets
- Experience using SQL and timeseries databases
- Proficiency in Python and Git; additional experience with an OOP language a strong plus
- Domain knowledge in ERCOT, PJM, or CAISO preferred
About Point72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.
The annual base salary range for this role is $150,000-$250,000 (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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Role/Responsibilities
\nThe Quant Researcher will report to a Stamford based Portfolio Manager and will focus on:
- Building, running, and maintaining power dispatch model for ERCOT and other major US ISOs
- Driving the model’s inputs and architecture to efficiently simulate power grid conditions and marginal pricing
- Continuously testing and improving the model, ensuring it accurately replicates historical conditions and effectively analyzes forward scenarios
- Communicating the model’s results and limitations to the wider investment team
Responsibilities:
\n- Formulate and build a power dispatch model using Python and a commercial solver
- Collaborate with the PM to optimize model inputs and architecture
- Ensure the model replicates grid operations from historical conditions
- Suggest model improvements to decrease forecast error and improve scenario handling
- Regularly run the model and maintain up-to-date outputs in an internal database
- Communicate results and limitations to the wider investment team, including publishing results to team dashboards
Requirements:
\n- Master or PhD in operations research, electrical engineering, applied mathematics, or a related quantitative field
- 5+ years of direct experience building power dispatch models (SCUC/SCED) using optimization solvers (Gurobi, CPLEX, etc.)
- Knowledge of power plant dispatch, grid operations (including capacity and AS obligations), and LMP pricing in US power markets
- Experience using SQL and timeseries databases
- Proficiency in Python and Git; additional experience with an OOP language a strong plus
- Domain knowledge in ERCOT, PJM, or CAISO preferred
About Point72
\nPoint72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.
The annual base salary range for this role is $150,000-$250,000 (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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Quant Researcher, Power Dispatch Modeling
at Point72
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Quant Researcher, Power Dispatch Modeling
at Point72
Mid LevelNo visa sponsorshipPython
Posted 19 hours ago
No clicks
- Compensation
- $150,000 – $250,000 USD
- City
- New York City, Stamford
- Country
- United States
Currency: $ (USD)
The Quant Researcher will design, build, and maintain power dispatch models (SCUC/SCED) for ERCOT and other major US ISOs to simulate grid conditions and marginal pricing. You will implement and run models in Python using commercial optimization solvers (e.g., Gurobi, CPLEX), maintain outputs in an internal database, and continuously test and improve model accuracy. The role collaborates closely with a portfolio manager to optimize inputs and architecture, perform scenario analysis, and communicate results and limitations to the wider investment team.
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P72 Careers - Header
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Quant Researcher, Power Dispatch Modeling
Apply Now
Experience
Experienced Professionals
Location
New York | Stamford
Focus
Global Macro Investing
Business
Point72
Role/Responsibilities
The Quant Researcher will report to a Stamford based Portfolio Manager and will focus on:
- Building, running, and maintaining power dispatch model for ERCOT and other major US ISOs
- Driving the model’s inputs and architecture to efficiently simulate power grid conditions and marginal pricing
- Continuously testing and improving the model, ensuring it accurately replicates historical conditions and effectively analyzes forward scenarios
- Communicating the model’s results and limitations to the wider investment team
Responsibilities:
- Formulate and build a power dispatch model using Python and a commercial solver
- Collaborate with the PM to optimize model inputs and architecture
- Ensure the model replicates grid operations from historical conditions
- Suggest model improvements to decrease forecast error and improve scenario handling
- Regularly run the model and maintain up-to-date outputs in an internal database
- Communicate results and limitations to the wider investment team, including publishing results to team dashboards
Requirements:
- Master or PhD in operations research, electrical engineering, applied mathematics, or a related quantitative field
- 5+ years of direct experience building power dispatch models (SCUC/SCED) using optimization solvers (Gurobi, CPLEX, etc.)
- Knowledge of power plant dispatch, grid operations (including capacity and AS obligations), and LMP pricing in US power markets
- Experience using SQL and timeseries databases
- Proficiency in Python and Git; additional experience with an OOP language a strong plus
- Domain knowledge in ERCOT, PJM, or CAISO preferred
About Point72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.
The annual base salary range for this role is $150,000-$250,000 (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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Role/Responsibilities
\nThe Quant Researcher will report to a Stamford based Portfolio Manager and will focus on:
- Building, running, and maintaining power dispatch model for ERCOT and other major US ISOs
- Driving the model’s inputs and architecture to efficiently simulate power grid conditions and marginal pricing
- Continuously testing and improving the model, ensuring it accurately replicates historical conditions and effectively analyzes forward scenarios
- Communicating the model’s results and limitations to the wider investment team
Responsibilities:
\n- Formulate and build a power dispatch model using Python and a commercial solver
- Collaborate with the PM to optimize model inputs and architecture
- Ensure the model replicates grid operations from historical conditions
- Suggest model improvements to decrease forecast error and improve scenario handling
- Regularly run the model and maintain up-to-date outputs in an internal database
- Communicate results and limitations to the wider investment team, including publishing results to team dashboards
Requirements:
\n- Master or PhD in operations research, electrical engineering, applied mathematics, or a related quantitative field
- 5+ years of direct experience building power dispatch models (SCUC/SCED) using optimization solvers (Gurobi, CPLEX, etc.)
- Knowledge of power plant dispatch, grid operations (including capacity and AS obligations), and LMP pricing in US power markets
- Experience using SQL and timeseries databases
- Proficiency in Python and Git; additional experience with an OOP language a strong plus
- Domain knowledge in ERCOT, PJM, or CAISO preferred
About Point72
\nPoint72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.
The annual base salary range for this role is $150,000-$250,000 (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.
","title":"Quant Researcher, Power Dispatch Modeling","@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/a03Vo00000bKwovIAC\"},\"Id\":\"a03Vo00000bKwovIAC\",\"Name\":\"Quant Researcher, Power Dispatch Modeling\",\"Assigned_Internal_Recruiter__c\":\"005j000000EWCJ4AAP\",\"Job_Code__c\":\"CSS-0013351\",\"Experience__c\":\"Experienced Professionals\",\"Company__c\":\"001j000000VbgAOAAZ\",\"Posted_Location__c\":\"New York;Stamford\",\"Area__c\":\"Investing\",\"Team__c\":\"Global Macro Investing\",\"Summary__c\":\"Stamford based Portfolio Manager is looking for a Quant Researcher to join their team in Stamford or NYC\",\"Job_Description_External__c\":\"\u003Ch3\u003ERole/Responsibilities\u003C/h3\u003E\\n\u003Cp\u003EThe Quant Researcher will report to a Stamford based Portfolio Manager and will focus on:\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EBuilding, running, and maintaining power dispatch model for ERCOT and other major US ISOs\u003C/li\u003E\u003Cli\u003EDriving the model’s inputs and architecture to efficiently simulate power grid conditions and marginal pricing\u003C/li\u003E\u003Cli\u003EContinuously testing and improving the model, ensuring it accurately replicates historical conditions and effectively analyzes forward scenarios\u003C/li\u003E\u003Cli\u003ECommunicating the model’s results and limitations to the wider investment team\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003EResponsibilities:\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EFormulate and build a power dispatch model using Python and a commercial solver\u003C/li\u003E\u003Cli\u003ECollaborate with the PM to optimize model inputs and architecture\u003C/li\u003E\u003Cli\u003EEnsure the model replicates grid operations from historical conditions\u003C/li\u003E\u003Cli\u003ESuggest model improvements to decrease forecast error and improve scenario handling\u003C/li\u003E\u003Cli\u003ERegularly run the model and maintain up-to-date outputs in an internal database\u003C/li\u003E\u003Cli\u003ECommunicate results and limitations to the wider investment team, including publishing results to team dashboards\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003ERequirements:\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EMaster or PhD in operations research, electrical engineering, applied mathematics, or a related quantitative field\u003C/li\u003E\u003Cli\u003E5+ years of direct experience building power dispatch models (SCUC/SCED) using optimization solvers (Gurobi, CPLEX, etc.)\u003C/li\u003E\u003Cli\u003EKnowledge of power plant dispatch, grid operations (including capacity and AS obligations), and LMP pricing in US power markets\u003C/li\u003E\u003Cli\u003EExperience using SQL and timeseries databases\u003C/li\u003E\u003Cli\u003EProficiency in Python and Git; additional experience with an OOP language a strong plus\u003C/li\u003E\u003Cli\u003EDomain knowledge in ERCOT, PJM, or CAISO preferred\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003EAbout Point72\u003C/h3\u003E\\n\u003Cp\u003EPoint72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.\u003C/p\u003E\u003Cbr\u003E\u003Cp\u003EThe annual base salary range for this role is $150,000-$250,000 (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/5fcae9902us\",\"Type__c\":\"Full Time\",\"LastModifiedDate\":\"2025-12-01T10:41:28.000+0000\",\"Location__c\":\"New York, New York\",\"Company__r\":{\"attributes\":{\"type\":\"Account\",\"url\":\"/services/data/v65.0/sobjects/Account/001j000000VbgAOAAZ\"},\"Business__c\":\"Point72\",\"Name\":\"Point72 Asset Management, L.P.\",\"Id\":\"001j000000VbgAOAAZ\",\"RecordTypeId\":\"012j0000000tIlgAAE\"},\"RecordType\":{\"attributes\":{\"type\":\"RecordType\",\"url\":\"/services/data/v65.0/sobjects/RecordType/012j0000000tcfpAAA\"},\"DeveloperName\":\"Cubist\",\"Name\":\"Cubist\",\"Id\":\"012j0000000tcfpAAA\"}},\"friendlyJobName\":\"quant-researcher-power-dispatch-modeling\",\"formattedTeam\":\"Global Macro Investing\",\"formattedLocation\":\"New York | Stamford\",\"formattedArea\":\"Investing\"}');
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