**Senior Software Engineer needed** for Macro Quant Analytics Technology role. Design, develop, and maintain high-performance trading systems. Key responsibilities include: creating scalable architectures, optimizing algorithms, and ensuring system reliability. Proficient in C++, Python, and knowledge of scientific libraries (e.g., NumPy, SciPy). Requires 5+ years of coding experience, familiarity with financial markets, and strong problem-solving skills. Collaborate with data scientists and quant team to drive innovative solutions. Experience with cloud platforms (AWS, Google Cloud) a plus.
Point72, L.P. and its affiliates and our third-party partners use cookies and similar technologies to view and retain your site interactions to perform analytics, enable site functionality and assist our marketing efforts exclusively for recruiting purposes. By continuing to use our site, you consent to these data practices, as described in our Privacy Policy.
Quant Tech Strategy | Software & System Engineering
Business
Point72
A Career with Point72’s Technology Team
As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.
As a member of Point72’s Technology team, we encourage and support your professional development from day one, helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity; all while delivering real business impact for our multi-billion-dollar global business.
What you’ll do
Design, build, and extend core C# analytics services, APIs, and libraries used across the Macro business.
Develop and operate high-performance distributed systems with strong guarantees around correctness, latency, and scalability.
Build real-time and historical analytics services supporting pricing, risk, and global market data workflows.
Design and maintain time-aware (historical and real-time) data models and services, ensuring consistency across analytics use cases.
Develop and integrate derived data pipelines and datasets used in research, backtesting, and production analytics.
Contribute to API design, data modeling, and system architecture for shared analytics platforms.
Integrate analytics services with batch and streaming data pipelines across research and trading workflows.
Partner closely with quants and portfolio managers to translate investment requirements into robust platform capabilities.
Contribute to system reliability through testing, monitoring, and operational best practices.
Participate in code reviews and technical discussions to improve design, performance, and maintainability.
What’s required
3–10 years of experience developing production-quality backend software in C#, with a strong focus on distributed systems and APIs (REST/gRPC).
Proven experience designing, deploying, and supporting backend services or platforms in cloud or hybrid environments .
Strong understanding of distributed system design, including data modeling, consistency, and time-series or event-driven architectures.
Hands-on experience with streaming and messaging systems, such as Kafka, and building scalable data pipelines with derived data generation and persistence.
Familiarity with containerized environments, such as Kubernetes, and modern data and storage technologies.
Solid grasp of SDLC best practices, including testing, code coverage, monitoring, and operational support in production systems.
Experience with Python and exposure to C++, particularly in performance- or analytics-oriented contexts.
Awareness of financial markets and instruments, including rates, FX, and derivatives, and how pricing and risk analytics are applied.
Strong communication and collaboration skills, with the ability to work closely with investment professionals.
Commitment to the highest ethical standards.
We take care of our people
We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
Fully-paid health care benefits
Generous parental and family leave policies
Mental and physical wellness programs
Volunteer opportunities
Non-profit matching gift program
Support for employee-led affinity groups representing women, minorities and the LGBT+ community
Tuition assistance
A 401(k) savings program with an employer match and more
About Point72
Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here
The annual base salary range for this role is $245,000-$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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A Career with Point72’s Technology Team
\n
As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.
As a member of Point72’s Technology team, we encourage and support your professional development from day one, helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity; all while delivering real business impact for our multi-billion-dollar global business.
What you’ll do
\n
Design, build, and extend core C# analytics services, APIs, and libraries used across the Macro business.
Develop and operate high-performance distributed systems with strong guarantees around correctness, latency, and scalability.
Build real-time and historical analytics services supporting pricing, risk, and global market data workflows.
Design and maintain time-aware (historical and real-time) data models and services, ensuring consistency across analytics use cases.
Develop and integrate derived data pipelines and datasets used in research, backtesting, and production analytics.
Contribute to API design, data modeling, and system architecture for shared analytics platforms.
Integrate analytics services with batch and streaming data pipelines across research and trading workflows.
Partner closely with quants and portfolio managers to translate investment requirements into robust platform capabilities.
Contribute to system reliability through testing, monitoring, and operational best practices.
Participate in code reviews and technical discussions to improve design, performance, and maintainability.
What’s required
\n
3–10 years of experience developing production-quality backend software in C#, with a strong focus on distributed systems and APIs (REST/gRPC).
Proven experience designing, deploying, and supporting backend services or platforms in cloud or hybrid environments .
Strong understanding of distributed system design, including data modeling, consistency, and time-series or event-driven architectures.
Hands-on experience with streaming and messaging systems, such as Kafka, and building scalable data pipelines with derived data generation and persistence.
Familiarity with containerized environments, such as Kubernetes, and modern data and storage technologies.
Solid grasp of SDLC best practices, including testing, code coverage, monitoring, and operational support in production systems.
Experience with Python and exposure to C++, particularly in performance- or analytics-oriented contexts.
Awareness of financial markets and instruments, including rates, FX, and derivatives, and how pricing and risk analytics are applied.
Strong communication and collaboration skills, with the ability to work closely with investment professionals.
Commitment to the highest ethical standards.
We take care of our people
\n
We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
\n
Fully-paid health care benefits
Generous parental and family leave policies
Mental and physical wellness programs
Volunteer opportunities
Non-profit matching gift program
Support for employee-led affinity groups representing women, minorities and the LGBT+ community
Tuition assistance
A 401(k) savings program with an employer match and more
About Point72
\n
Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here
The annual base salary range for this role is $245,000-$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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We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.\u003C/p\u003E\u003Cp style=\\\"text-align: justify;\\\"\u003EAs a member of Point72’s Technology team, we encourage and support your professional development from day one, helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity; all while delivering real business impact for our multi-billion-dollar global business.\u003C/p\u003E\u003Cp\u003E\u003Cbr\u003E\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EWhat you’ll do\u003C/h3\u003E\\n\u003Cp\u003EDesign, build, and extend core C# analytics services, APIs, and libraries used across the Macro business.\u003C/p\u003E\u003Cp\u003EDevelop and operate high-performance distributed systems with strong guarantees around correctness, latency, and scalability.\u003C/p\u003E\u003Cp\u003EBuild real-time and historical analytics services supporting pricing, risk, and global market data workflows.\u003C/p\u003E\u003Cp\u003EDesign and maintain time-aware (historical and real-time) data models and services, ensuring consistency across analytics use cases.\u003C/p\u003E\u003Cp\u003EDevelop and integrate derived data pipelines and datasets used in research, backtesting, and production analytics.\u003C/p\u003E\u003Cp\u003EContribute to API design, data modeling, and system architecture for shared analytics platforms.\u003C/p\u003E\u003Cp\u003EIntegrate analytics services with batch and streaming data pipelines across research and trading workflows.\u003C/p\u003E\u003Cp\u003EPartner closely with quants and portfolio managers to translate investment requirements into robust platform capabilities.\u003C/p\u003E\u003Cp\u003EContribute to system reliability through testing, monitoring, and operational best practices.\u003C/p\u003E\u003Cp\u003EParticipate in code reviews and technical discussions to improve design, performance, and maintainability.\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EWhat’s required\u003C/h3\u003E\\n\u003Cp\u003E3–10 years of experience developing production-quality backend software in C#, with a strong focus on distributed systems and APIs (REST/gRPC).\u003C/p\u003E\u003Cp\u003EProven experience designing, deploying, and supporting backend services or platforms in cloud or hybrid environments .\u003C/p\u003E\u003Cp\u003EStrong understanding of distributed system design, including data modeling, consistency, and time-series or event-driven architectures.\u003C/p\u003E\u003Cp\u003EHands-on experience with streaming and messaging systems, such as Kafka, and building scalable data pipelines with derived data generation and persistence.\u003C/p\u003E\u003Cp\u003EFamiliarity with containerized environments, such as Kubernetes, and modern data and storage technologies.\u003C/p\u003E\u003Cp\u003ESolid grasp of SDLC best practices, including testing, code coverage, monitoring, and operational support in production systems.\u003C/p\u003E\u003Cp\u003EExperience with Python and exposure to C++, particularly in performance- or analytics-oriented contexts.\u003C/p\u003E\u003Cp\u003EAwareness of financial markets and instruments, including rates, FX, and derivatives, and how pricing and risk analytics are applied.\u003C/p\u003E\u003Cp\u003EStrong communication and collaboration skills, with the ability to work closely with investment professionals.\u003C/p\u003E\u003Cp\u003ECommitment to the highest ethical standards.\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EWe take care of our people\u003C/h3\u003E\\n\u003Cp\u003EWe invest in our people, their careers, their health, and their well-being. When you work here, we provide:\u003C/p\u003E\\n\u003Cul\u003E\u003Cli\u003EFully-paid health care benefits\u003C/li\u003E\u003Cli\u003EGenerous parental and family leave policies\u003C/li\u003E\u003Cli\u003EMental and physical wellness programs\u003C/li\u003E\u003Cli\u003EVolunteer opportunities\u003C/li\u003E\u003Cli\u003ENon-profit matching gift program\u003C/li\u003E\u003Cli\u003ESupport for employee-led affinity groups representing women, minorities and the LGBT+ community\u003C/li\u003E\u003Cli\u003ETuition assistance\u003C/li\u003E\u003Cli\u003EA 401(k) savings program with an employer match and more\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003EAbout Point72\u003C/h3\u003E\\n\u003Cp\u003EPoint72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit \u003Ca href=\\\"https://www.Point72.com/working-here\\\\\\\" target=\\\"_blank\\\"\u003Ewww.Point72.com/working-here\u003C/a\u003E\u003C/p\u003E\u003Cbr\u003E\u003Cp\u003EThe annual base salary range for this role is $245,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. 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**Senior Software Engineer needed** for Macro Quant Analytics Technology role. Design, develop, and maintain high-performance trading systems. Key responsibilities include: creating scalable architectures, optimizing algorithms, and ensuring system reliability. Proficient in C++, Python, and knowledge of scientific libraries (e.g., NumPy, SciPy). Requires 5+ years of coding experience, familiarity with financial markets, and strong problem-solving skills. Collaborate with data scientists and quant team to drive innovative solutions. Experience with cloud platforms (AWS, Google Cloud) a plus.
Point72, L.P. and its affiliates and our third-party partners use cookies and similar technologies to view and retain your site interactions to perform analytics, enable site functionality and assist our marketing efforts exclusively for recruiting purposes. By continuing to use our site, you consent to these data practices, as described in our Privacy Policy.
Quant Tech Strategy | Software & System Engineering
Business
Point72
A Career with Point72’s Technology Team
As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.
As a member of Point72’s Technology team, we encourage and support your professional development from day one, helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity; all while delivering real business impact for our multi-billion-dollar global business.
What you’ll do
Design, build, and extend core C# analytics services, APIs, and libraries used across the Macro business.
Develop and operate high-performance distributed systems with strong guarantees around correctness, latency, and scalability.
Build real-time and historical analytics services supporting pricing, risk, and global market data workflows.
Design and maintain time-aware (historical and real-time) data models and services, ensuring consistency across analytics use cases.
Develop and integrate derived data pipelines and datasets used in research, backtesting, and production analytics.
Contribute to API design, data modeling, and system architecture for shared analytics platforms.
Integrate analytics services with batch and streaming data pipelines across research and trading workflows.
Partner closely with quants and portfolio managers to translate investment requirements into robust platform capabilities.
Contribute to system reliability through testing, monitoring, and operational best practices.
Participate in code reviews and technical discussions to improve design, performance, and maintainability.
What’s required
3–10 years of experience developing production-quality backend software in C#, with a strong focus on distributed systems and APIs (REST/gRPC).
Proven experience designing, deploying, and supporting backend services or platforms in cloud or hybrid environments .
Strong understanding of distributed system design, including data modeling, consistency, and time-series or event-driven architectures.
Hands-on experience with streaming and messaging systems, such as Kafka, and building scalable data pipelines with derived data generation and persistence.
Familiarity with containerized environments, such as Kubernetes, and modern data and storage technologies.
Solid grasp of SDLC best practices, including testing, code coverage, monitoring, and operational support in production systems.
Experience with Python and exposure to C++, particularly in performance- or analytics-oriented contexts.
Awareness of financial markets and instruments, including rates, FX, and derivatives, and how pricing and risk analytics are applied.
Strong communication and collaboration skills, with the ability to work closely with investment professionals.
Commitment to the highest ethical standards.
We take care of our people
We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
Fully-paid health care benefits
Generous parental and family leave policies
Mental and physical wellness programs
Volunteer opportunities
Non-profit matching gift program
Support for employee-led affinity groups representing women, minorities and the LGBT+ community
Tuition assistance
A 401(k) savings program with an employer match and more
About Point72
Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here
The annual base salary range for this role is $245,000-$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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A Career with Point72’s Technology Team
\n
As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.
As a member of Point72’s Technology team, we encourage and support your professional development from day one, helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity; all while delivering real business impact for our multi-billion-dollar global business.
What you’ll do
\n
Design, build, and extend core C# analytics services, APIs, and libraries used across the Macro business.
Develop and operate high-performance distributed systems with strong guarantees around correctness, latency, and scalability.
Build real-time and historical analytics services supporting pricing, risk, and global market data workflows.
Design and maintain time-aware (historical and real-time) data models and services, ensuring consistency across analytics use cases.
Develop and integrate derived data pipelines and datasets used in research, backtesting, and production analytics.
Contribute to API design, data modeling, and system architecture for shared analytics platforms.
Integrate analytics services with batch and streaming data pipelines across research and trading workflows.
Partner closely with quants and portfolio managers to translate investment requirements into robust platform capabilities.
Contribute to system reliability through testing, monitoring, and operational best practices.
Participate in code reviews and technical discussions to improve design, performance, and maintainability.
What’s required
\n
3–10 years of experience developing production-quality backend software in C#, with a strong focus on distributed systems and APIs (REST/gRPC).
Proven experience designing, deploying, and supporting backend services or platforms in cloud or hybrid environments .
Strong understanding of distributed system design, including data modeling, consistency, and time-series or event-driven architectures.
Hands-on experience with streaming and messaging systems, such as Kafka, and building scalable data pipelines with derived data generation and persistence.
Familiarity with containerized environments, such as Kubernetes, and modern data and storage technologies.
Solid grasp of SDLC best practices, including testing, code coverage, monitoring, and operational support in production systems.
Experience with Python and exposure to C++, particularly in performance- or analytics-oriented contexts.
Awareness of financial markets and instruments, including rates, FX, and derivatives, and how pricing and risk analytics are applied.
Strong communication and collaboration skills, with the ability to work closely with investment professionals.
Commitment to the highest ethical standards.
We take care of our people
\n
We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
\n
Fully-paid health care benefits
Generous parental and family leave policies
Mental and physical wellness programs
Volunteer opportunities
Non-profit matching gift program
Support for employee-led affinity groups representing women, minorities and the LGBT+ community
Tuition assistance
A 401(k) savings program with an employer match and more
About Point72
\n
Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here
The annual base salary range for this role is $245,000-$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.
","title":"Software Engineer, Macro Quant Analytics Technology","@type":"JobPosting","@context":"http://schema.org/"} CSJobDetailModule.init('{\"lastModifiedDateFormatted\":\"2026-08-14\",\"job\":{\"attributes\":{\"type\":\"Job__c\",\"url\":\"/services/data/v67.0/sobjects/Job__c/a03Vo00001ZjktFIAR\"},\"Id\":\"a03Vo00001ZjktFIAR\",\"Name\":\"Software Engineer, Macro Quant Analytics Technology\",\"Assigned_Internal_Recruiter__c\":\"0055b00000MwJHwAAN\",\"Job_Code__c\":\"PIT-0014783\",\"Experience__c\":\"Experienced Professionals\",\"Company__c\":\"0015b00001nlJvSAAU\",\"Posted_Location__c\":\"New York;London\",\"Area__c\":\"Technology & Engineering\",\"Team__c\":\"Quant Tech Strategy;Software & System Engineering\",\"Job_Description_External__c\":\"\u003Ch3\u003EA Career with Point72’s Technology Team\u003C/h3\u003E\\n\u003Cp style=\\\"text-align: justify;\\\"\u003EAs Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.\u003C/p\u003E\u003Cp style=\\\"text-align: justify;\\\"\u003EAs a member of Point72’s Technology team, we encourage and support your professional development from day one, helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity; all while delivering real business impact for our multi-billion-dollar global business.\u003C/p\u003E\u003Cp\u003E\u003Cbr\u003E\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EWhat you’ll do\u003C/h3\u003E\\n\u003Cp\u003EDesign, build, and extend core C# analytics services, APIs, and libraries used across the Macro business.\u003C/p\u003E\u003Cp\u003EDevelop and operate high-performance distributed systems with strong guarantees around correctness, latency, and scalability.\u003C/p\u003E\u003Cp\u003EBuild real-time and historical analytics services supporting pricing, risk, and global market data workflows.\u003C/p\u003E\u003Cp\u003EDesign and maintain time-aware (historical and real-time) data models and services, ensuring consistency across analytics use cases.\u003C/p\u003E\u003Cp\u003EDevelop and integrate derived data pipelines and datasets used in research, backtesting, and production analytics.\u003C/p\u003E\u003Cp\u003EContribute to API design, data modeling, and system architecture for shared analytics platforms.\u003C/p\u003E\u003Cp\u003EIntegrate analytics services with batch and streaming data pipelines across research and trading workflows.\u003C/p\u003E\u003Cp\u003EPartner closely with quants and portfolio managers to translate investment requirements into robust platform capabilities.\u003C/p\u003E\u003Cp\u003EContribute to system reliability through testing, monitoring, and operational best practices.\u003C/p\u003E\u003Cp\u003EParticipate in code reviews and technical discussions to improve design, performance, and maintainability.\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EWhat’s required\u003C/h3\u003E\\n\u003Cp\u003E3–10 years of experience developing production-quality backend software in C#, with a strong focus on distributed systems and APIs (REST/gRPC).\u003C/p\u003E\u003Cp\u003EProven experience designing, deploying, and supporting backend services or platforms in cloud or hybrid environments .\u003C/p\u003E\u003Cp\u003EStrong understanding of distributed system design, including data modeling, consistency, and time-series or event-driven architectures.\u003C/p\u003E\u003Cp\u003EHands-on experience with streaming and messaging systems, such as Kafka, and building scalable data pipelines with derived data generation and persistence.\u003C/p\u003E\u003Cp\u003EFamiliarity with containerized environments, such as Kubernetes, and modern data and storage technologies.\u003C/p\u003E\u003Cp\u003ESolid grasp of SDLC best practices, including testing, code coverage, monitoring, and operational support in production systems.\u003C/p\u003E\u003Cp\u003EExperience with Python and exposure to C++, particularly in performance- or analytics-oriented contexts.\u003C/p\u003E\u003Cp\u003EAwareness of financial markets and instruments, including rates, FX, and derivatives, and how pricing and risk analytics are applied.\u003C/p\u003E\u003Cp\u003EStrong communication and collaboration skills, with the ability to work closely with investment professionals.\u003C/p\u003E\u003Cp\u003ECommitment to the highest ethical standards.\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EWe take care of our people\u003C/h3\u003E\\n\u003Cp\u003EWe invest in our people, their careers, their health, and their well-being. When you work here, we provide:\u003C/p\u003E\\n\u003Cul\u003E\u003Cli\u003EFully-paid health care benefits\u003C/li\u003E\u003Cli\u003EGenerous parental and family leave policies\u003C/li\u003E\u003Cli\u003EMental and physical wellness programs\u003C/li\u003E\u003Cli\u003EVolunteer opportunities\u003C/li\u003E\u003Cli\u003ENon-profit matching gift program\u003C/li\u003E\u003Cli\u003ESupport for employee-led affinity groups representing women, minorities and the LGBT+ community\u003C/li\u003E\u003Cli\u003ETuition assistance\u003C/li\u003E\u003Cli\u003EA 401(k) savings program with an employer match and more\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003EAbout Point72\u003C/h3\u003E\\n\u003Cp\u003EPoint72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit \u003Ca href=\\\"https://www.Point72.com/working-here\\\\\\\" target=\\\"_blank\\\"\u003Ewww.Point72.com/working-here\u003C/a\u003E\u003C/p\u003E\u003Cbr\u003E\u003Cp\u003EThe annual base salary range for this role is $245,000-$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,\"Other_Internal_Recruiter__c\":\"0055b00000PX5rYAAT\",\"RecordTypeId\":\"0120a000000LTejAAG\",\"Apply_Now_URL__c\":\"https://boards.greenhouse.io/point72/jobs/8060321002?gh_jid=8060321002\",\"Type__c\":\"Full Time\",\"LastModifiedDate\":\"2026-08-14T18:28:46.000+0000\",\"Company__r\":{\"attributes\":{\"type\":\"Account\",\"url\":\"/services/data/v67.0/sobjects/Account/0015b00001nlJvSAAU\"},\"Business__c\":\"Point72\",\"Name\":\"Point72\",\"Id\":\"0015b00001nlJvSAAU\",\"RecordTypeId\":\"012j0000000tIlgAAE\"},\"RecordType\":{\"attributes\":{\"type\":\"RecordType\",\"url\":\"/services/data/v67.0/sobjects/RecordType/0120a000000LTejAAG\"},\"DeveloperName\":\"Information_Technology\",\"Name\":\"Information Technology\",\"Id\":\"0120a000000LTejAAG\"}},\"friendlyJobName\":\"software-engineer-macro-quant-analytics-technology\",\"formattedTeam\":\"Quant Tech Strategy | Software & System Engineering\",\"formattedLocation\":\"New York | London\",\"formattedArea\":\"Technology & Engineering\"}');