/* 🔹 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":"Cubist Systematic Strategies, LLC","@type":"PropertyValue"},"jobLocation":[{"address":{"addressCountry":"US","addressRegion":"New York","addressLocality":"New York","@type":"PostalAddress"},"@type":"Place"}],"hiringOrganization":{"sameAs":"https://www.point72.com/","name":"Cubist","@type":"Organization"},"datePosted":"2026-01-19","description":"

About Cubist

\n

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.

Job Description

\n

We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.

Cubist’s data services group is looking for a Senior Data Scientist to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world.

This exceptional individual will be a member of a small team of Data Scientists who play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments.

Job Responsibilities

\n

• Identification of new data sets
• Engaging with vendors to understand characteristics of datasets
• Building processes and technology tools to ingest, tag and clean datasets
• Analysis of datasets to generate descriptive statistics and propose potential applications of data
• Research of potential “alpha signals” for presentation to Portfolio Managers
• Monitoring and enhancing the automated data collection and cleansing infrastructure
• Research on new technologies for improved data management and efficient retrieval

Desirable Candidates

\n

• Ph.D. in computer science, mathematics, physics, statistics or another disciplines involving rigorous quantitative analysis techniques
• At least 1 year of experience as a Data Scientist, quantitative researcher or in a similar role
• Experience working with large data sets, including classification, regression, distribution analysis, and predictive modeling
• Experience applying statistical tests to large data sets
• Programming skills in SQL, TSQL, SQL Server or PL-SQL
• Programming skills in Python and at least one of C#, C++, or Java
• Financial industry experience preferred but not required
• Experience dealing with intraday, tick and order book data a plus
• Strong problem solving skills
• Intellectual curiosity and a love of learning
• Attention to detail and a love of process
• Strong oral and written communication skills

The annual base salary range for this role is $125,000-$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":"Senior Data Scientist","@type":"JobPosting","@context":"http://schema.org/"} CSJobDetailModule.init('{\"lastModifiedDateFormatted\":\"2025-12-23\",\"job\":{\"attributes\":{\"type\":\"Job__c\",\"url\":\"/services/data/v65.0/sobjects/Job__c/a035b00001OpDbFAAV\"},\"Id\":\"a035b00001OpDbFAAV\",\"Name\":\"Senior Data Scientist\",\"Assigned_Internal_Recruiter__c\":\"005j000000EWCJ4AAP\",\"Job_Code__c\":\"CSS-0011864\",\"Experience__c\":\"Experienced Professionals\",\"Company__c\":\"001j000000VbgA3AAJ\",\"Posted_Location__c\":\"New York\",\"Area__c\":\"Research, Data & Analytics\",\"Team__c\":\"Systematic Data\",\"Summary__c\":\"Cubist’s data services group is looking for a Data Scientist to join our dedicated team. We are responsible for the timely delivery of comprehensive and error-free data to some of the most successful systematic Portfolio Managers in the world.\",\"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\u003EJob Description\u003C/h3\u003E\\n\u003Cp\u003EWe are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.\u003C/p\u003E\u003Cp\u003ECubist’s data services group is looking for a Senior Data Scientist to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world.\u003C/p\u003E\u003Cp\u003EThis exceptional individual will be a member of a small team of Data Scientists who play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments.\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EJob Responsibilities\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EIdentification of new data sets\u003C/li\u003E\u003Cli\u003EEngaging with vendors to understand characteristics of datasets\u003C/li\u003E\u003Cli\u003EBuilding processes and technology tools to ingest, tag and clean datasets\u003C/li\u003E\u003Cli\u003EAnalysis of datasets to generate descriptive statistics and propose potential applications of data\u003C/li\u003E\u003Cli\u003EResearch of potential “alpha signals” for presentation to Portfolio Managers\u003C/li\u003E\u003Cli\u003EMonitoring and enhancing the automated data collection and cleansing infrastructure\u003C/li\u003E\u003Cli\u003EResearch on new technologies for improved data management and efficient retrieval\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003EDesirable Candidates\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EPh.D. in computer science, mathematics, physics, statistics or another disciplines involving rigorous quantitative analysis techniques\u003C/li\u003E\u003Cli\u003EAt least 1 year of experience as a Data Scientist, quantitative researcher or in a similar role\u003C/li\u003E\u003Cli\u003EExperience working with large data sets, including classification, regression, distribution analysis, and predictive modeling\u003C/li\u003E\u003Cli\u003EExperience applying statistical tests to large data sets\u003C/li\u003E\u003Cli\u003EProgramming skills in SQL, TSQL, SQL Server or PL-SQL\u003C/li\u003E\u003Cli\u003EProgramming skills in Python and at least one of C#, C++, or Java\u003C/li\u003E\u003Cli\u003EFinancial industry experience preferred but not required\u003C/li\u003E\u003Cli\u003EExperience dealing with intraday, tick and order book data a plus\u003C/li\u003E\u003Cli\u003EStrong problem solving skills\u003C/li\u003E\u003Cli\u003EIntellectual curiosity and a love of learning\u003C/li\u003E\u003Cli\u003EAttention to detail and a love of process\u003C/li\u003E\u003Cli\u003EStrong oral and written communication skills\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Cp\u003EThe annual base salary range for this role is $125,000-$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,\"Job_Video_URL__c\":\"https://fast.wistia.net/embed/iframe/hvb774m8ol?videoFoam=true\",\"RecordTypeId\":\"012j0000000tcfpAAA\",\"Apply_Now_URL__c\":\"https://grnh.se/b148e88b2us\",\"Type__c\":\"Full Time\",\"LastModifiedDate\":\"2025-12-23T17:13:18.000+0000\",\"Location__c\":\"New York, New York\",\"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\":\"senior-data-scientist\",\"formattedTeam\":\"Systematic Data\",\"formattedLocation\":\"New York\",\"formattedArea\":\"Research, Data & Analytics\"}');