/* 🔹 Main footer padding control */ @media (min-width: 1921px) { .c-menu-footer__graphic{ margin-bottom: -85px !important; } .c-footer{ padding-top:40px !important; } .c-footer__upper{ /*padding-top:100px;*/ } .c-menu-footer__menu{ padding-top:20px !important; } .c-footer__branding{ margin-bottom:0px !important; } .c-menu-footer__link{ line-height:1.3 !important; font-size:1.127rem !important; } .c-menu-footer__title{ line-height:1.4 !important; } } @media (max-width: 1920px) { .c-menu-footer__graphic{ margin-bottom: -65px !important; } .c-menu-footer__title{ line-height:1.4 !important; } .c-menu-footer__link{ line-height:1.3 !important; font-size:1.127rem !important; } .c-menu-footer__menu{ padding-top:20px; } .c-footer__branding{ margin-bottom:0px !important; } } .c-menu-footer__title{ color:#f5f4ee; } @media (max-width: 1024px) { .c-footer__graphic { display: none; } } @media (max-width: 768px) { .c-footer{ padding-top:25px; } .c-footer__upper{ margin-bottom:-20px; } .c-footer__branding{ margin-top:20px; } .c-menu-utility__menu-item { padding-top:3px; } } @media (min-width: 769px) { .c-menu-utility__menu-item { padding-top:0; } } // Mixpanel ignore tracking for known IPs var excludeIPS = '[65.213.72.30, 185.142.16.9, 203.176.115.9, 208.68.197.6, 208.68.197.9, 208.68.199.6, 208.68.199.9, 208.85.160.9, 208.85.161.9]'; $.getJSON('//api.ipify.org?format=json', function(data) { try{ if(true && excludeIPS.indexOf(data.ip) > -1){ console.log('Mixpanel ignore events set: NO events tracked.'); mixpanel.register({"$ignore":true}); }else{ mixpanel.unregister("$ignore"); mixpanel.track("View Page", { "Page Name": document.querySelector('.dotted-underline') ? document.querySelector('.dotted-underline').innerText : location.href, "Careers Site": true }); mixpanel.people.set_once({ 'First Career Page Visit' : new Date().toISOString() }); mixpanel.people.set({ 'Last Career Page Visit' : new Date().toISOString() }); // Only for Careers Site mixpanel.people.increment("# of Career Page Visits"); (function(){ var links = document.querySelectorAll('a'); [].forEach.call(links, function(link) { link.addEventListener("click", function (e) { mixpanel.track("Click Link", { "Link Name": link.text, "Link Location": link.getAttribute('link-location') == null ? 'Body' : link.getAttribute('link-location'), "Link Type": link.getAttribute('link-type') == null ? '' : link.getAttribute('link-type'), "Link Destination URL" : link.href }); }); }); })(); } }catch(e){} }); jQuery(document).ready(function(){ var str = navigator.userAgent; if (str.toLowerCase().indexOf("firefox") >= 0) { jQuery('body').addClass("gecko"); } }); {"employmentType":"FULL_TIME","identifier":{"name":"Point72","@type":"PropertyValue"},"jobLocation":[{"address":{"addressCountry":"US","addressRegion":"New York","addressLocality":"New York","@type":"PostalAddress"},"@type":"Place"}],"hiringOrganization":{"sameAs":"https://www.point72.com/","name":"Point72","@type":"Organization"},"datePosted":"2026-02-12","description":"

A Career with Point72’s Technology

\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 and develop pre-trade pricing and analytics tools for investment professionals, supporting Rates and FX products.
• Implement real-time pricing engines and historical pricing frameworks using market and trading data.
• Develop analytics for historical curve construction, curve evolution, and relative value analysis.
• Design, generate, and maintain large-scale derived macro datasets for trading analytics, ensuring consistency, performance, and reusability across workflows.
• Build scenario analysis frameworks allowing investment professionals to define shocks and assess pricing and PnL impacts.
• Integrate pricing, scenario, and backtesting analytics into research and trading workflows.
• Develop scalable data pipelines for historical market data ingestion, normalization, storage, and retrieval.
• Collaborate with investment professionals to translate trading ideas into quantitative analytics and tooling.
• Contribute to the firm’s core analytics libraries and data architecture, with a focus on robustness, performance, and extensibility across asset classes.

What’s required

\n

• Post-graduate degree in a quantitative discipline from a top-tier university.
• 12-15+ years of experience in macro quantitative analytics and development at a top-tier bank or fund.
• Strong expertise in linear Rates and FX products, including curve construction, pricing, and relative value.
• Proven experience building pre-trade analytics, trading pricing tools and research platforms.
• Strong understanding of backtesting frameworks, historical analysis, and scenario-based research.
• Advanced programming skills in Python and C++.
• Solid data engineering and analytics proficiency, including experience with large financial datasets and time-series data.
• Proven experience building and persisting derived data at scale, including data modeling, storage, and access patterns for quantitative research and production analytics.
• Hands-on experience with cloud-based data and analytics platforms such as AWS, GCP, and/or Azure.
• Experience designing and maintaining production-quality data pipelines and analytics services.
• Strong communication skills and a demonstrated 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:

• 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 LGBTQ+ community
• Tuition assistance
• A 401(k) savings program with an employer match and more

About Point72

\n

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. For more information, visit https://point72.com/.

The annual base salary range for this role is $300,000-$350,000 (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":"Quantitative Strategist, Macro Data Analytics","@type":"JobPosting","@context":"http://schema.org/"} CSJobDetailModule.init('{\"lastModifiedDateFormatted\":\"2026-02-24\",\"job\":{\"attributes\":{\"type\":\"Job__c\",\"url\":\"/services/data/v66.0/sobjects/Job__c/a03Vo00001NOLC1IAP\"},\"Id\":\"a03Vo00001NOLC1IAP\",\"Name\":\"Quantitative Strategist, Macro Data Analytics\",\"Assigned_Internal_Recruiter__c\":\"0055b00000MwJHwAAN\",\"Job_Code__c\":\"PIT-0014438\",\"Experience__c\":\"Experienced Professionals\",\"Opened_Date__c\":\"2026-02-12\",\"Company__c\":\"0015b00001nlJvSAAU\",\"Posted_Location__c\":\"New York\",\"Area__c\":\"Technology & Engineering\",\"Team__c\":\"Quant Tech Strategy\",\"Job_Description_External__c\":\"\u003Ch3\u003EA Career with Point72’s Technology\u003C/h3\u003E\\n\u003Cp\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\u003E\u003Cbr\u003E\u003C/p\u003E\u003Cp\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\u003Cbr\u003E\u003Ch3\u003EWhat you’ll do\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EDesign and develop pre-trade pricing and analytics tools for investment professionals, supporting Rates and FX products.\u003C/li\u003E\u003Cli\u003EImplement real-time pricing engines and historical pricing frameworks using market and trading data.\u003C/li\u003E\u003Cli\u003EDevelop analytics for historical curve construction, curve evolution, and relative value analysis.\u003C/li\u003E\u003Cli\u003EDesign, generate, and maintain large-scale derived macro datasets for trading analytics, ensuring consistency, performance, and reusability across workflows.\u003C/li\u003E\u003Cli\u003EBuild scenario analysis frameworks allowing investment professionals to define shocks and assess pricing and PnL impacts.\u003C/li\u003E\u003Cli\u003EIntegrate pricing, scenario, and backtesting analytics into research and trading workflows.\u003C/li\u003E\u003Cli\u003EDevelop scalable data pipelines for historical market data ingestion, normalization, storage, and retrieval.\u003C/li\u003E\u003Cli\u003ECollaborate with investment professionals to translate trading ideas into quantitative analytics and tooling.\u003C/li\u003E\u003Cli\u003EContribute to the firm’s core analytics libraries and data architecture, with a focus on robustness, performance, and extensibility across asset classes.\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003EWhat’s required\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EPost-graduate degree in a quantitative discipline from a top-tier university.\u003C/li\u003E\u003Cli\u003E12-15+ years of experience in macro quantitative analytics and development at a top-tier bank or fund.\u003C/li\u003E\u003Cli\u003EStrong expertise in linear Rates and FX products, including curve construction, pricing, and relative value.\u003C/li\u003E\u003Cli\u003EProven experience building pre-trade analytics, trading pricing tools and research platforms.\u003C/li\u003E\u003Cli\u003EStrong understanding of backtesting frameworks, historical analysis, and scenario-based research.\u003C/li\u003E\u003Cli\u003EAdvanced programming skills in Python and C++.\u003C/li\u003E\u003Cli\u003ESolid data engineering and analytics proficiency, including experience with large financial datasets and time-series data.\u003C/li\u003E\u003Cli\u003EProven experience building and persisting derived data at scale, including data modeling, storage, and access patterns for quantitative research and production analytics.\u003C/li\u003E\u003Cli\u003EHands-on experience with cloud-based data and analytics platforms such as AWS, GCP, and/or Azure.\u003C/li\u003E\u003Cli\u003EExperience designing and maintaining production-quality data pipelines and analytics services.\u003C/li\u003E\u003Cli\u003EStrong communication skills and a demonstrated ability to work closely with investment professionals.\u003C/li\u003E\u003Cli\u003ECommitment to the highest ethical standards.\u003C/li\u003E\u003C/ul\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\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 LGBTQ+ 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 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. For more information, visit \u003Ca href=\\\"https://point72.com/\\\" target=\\\"_blank\\\" style=\\\"font-size: 11pt;\\\"\u003Ehttps://point72.com/\u003C/a\u003E.\u003C/p\u003E\u003Cbr\u003E\u003Cp\u003EThe annual base salary range for this role is $300,000-$350,000 (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/8408283002?gh_jid=8408283002\",\"Type__c\":\"Full Time\",\"LastModifiedDate\":\"2026-02-24T21:07:59.000+0000\",\"Location__c\":\"New York, New York\",\"Company__r\":{\"attributes\":{\"type\":\"Account\",\"url\":\"/services/data/v66.0/sobjects/Account/0015b00001nlJvSAAU\"},\"Business__c\":\"Point72\",\"Name\":\"Point72\",\"Id\":\"0015b00001nlJvSAAU\",\"RecordTypeId\":\"012j0000000tIlgAAE\"},\"RecordType\":{\"attributes\":{\"type\":\"RecordType\",\"url\":\"/services/data/v66.0/sobjects/RecordType/0120a000000LTejAAG\"},\"DeveloperName\":\"Information_Technology\",\"Name\":\"Information Technology\",\"Id\":\"0120a000000LTejAAG\"}},\"friendlyJobName\":\"quantitative-strategist-macro-data-analytics\",\"formattedTeam\":\"Quant Tech Strategy\",\"formattedLocation\":\"New York\",\"formattedArea\":\"Technology & Engineering\"}');