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Fundamental Equities Data Analyst - US

at Point72

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 21 hours ago

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Compensation: $150,000 – $240,000 USD
City: New York City, Stamford, San Francisco, Chicago, Miami
Country: United States

**Fundamental Equities Data Analyst - US: Leverage your financial acumen, SQL, and Excel skills (advanced) to drive US equities research. Data visualization (Tableau proficiency) and experience with FactSet or similar platforms required. 5+ years experience, preferably in investment management. Collaborate with portfolio managers to identify investment opportunities. Bachelor's degree in Finance, Economics, or similar discipline essential. CFA charter holder preferred.**

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Fundamental Equities Data Analyst - US Career

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P72 Careers - Header

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border-color: var(--p72-color-button-background, #b08725); color: var(--p72-color-button-text, #f5f4ee); } .c-menu-mega { opacity: 0; visibility: hidden; transform: translateY(5px); transition: opacity 0.15s ease-out, transform 0.15s ease-out; will-change: opacity, transform; } body.header-scrolled .c-header { top: var(--p72-cookie-consent-height, 0px) !important; } body.header-scrolled .c-menu-mobile { /*top: 0 !important;*/ } /* Header common style */ .c-header, .c-header.l-wrap, .c-header .l-wrap { transition: none !important; will-change: auto; } /* Optional: reset header when scrolled */ body.header-scrolled .c-header, body.header-scrolled .c-header.l-wrap, body.header-scrolled .c-header .l-wrap { top: 0 !important; } @media only screen and (max-width:768px) { .c-cookie-consent__container { padding: 8px 10px !important; } body.header-scrolled .c-header, body.header-scrolled .c-header.l-wrap { padding-top: 13px; !important; } body.header-scrolled .c-header .l-wrap { padding-top: 13px; 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--p72-line-height-tight: 1.1; --p72-letter-spacing-wide: 0.06em; --p72-typography-heading-xs: var(--p72-font-weight-bold) var(--p72-font-size-heading-xs) / var(--p72-line-height-tight) var(--p72-font-family-secondary); --p72-color-brand-cream: #f5f4ee; --p72-color-brand-gold: #b08725; --p72-color-brand-slate: #505a6b; --p72-color-brand-charcoal: #18181a; --p72-color-background: var(--p72-color-brand-charcoal); --p72-color-content: var(--p72-color-brand-cream); --p72-color-content-stronger: var(--p72-color-brand-gold); --p72-color-border: var(--p72-color-brand-slate); --p72-cookie-consent-height: 0px; --p72-icon-size-sm: 0.9375rem; } /* ========================================================= Utility: u-hide-after--md Hidden after medium breakpoint ========================================================= */ @media (min-width: 769px) { .u-hide-after--md { display: none !important; } } /* ========================================================= Utility: u-spacing--lg Adds large vertical spacing between direct children ========================================================= */ .u-spacing--lg > * + * { margin-top: 2rem; margin-top: var(--p72-space-lg); } /* ========================================================= Mobile Menu Container ========================================================= */ .c-menu-mobile { bottom: 0; height: calc(100% - var(--p72-cookie-consent-height)); overflow-y: scroll; padding: calc(100px + 1.5rem) 1.5rem 1.5rem; padding: calc(var(--p72-header-height) + var(--p72-space-md)) var(--p72-space-md) var(--p72-space-md) var(--p72-space-md); position: fixed; right: 0; top: var(--p72-cookie-consent-height) !important; transform: translate3d(100%, 0, 0); transition: all 0.6s cubic-bezier(0.65, 0, 0.35, 1); transition: all var(--p72-animation-duration-long) var(--p72-animation-timing); visibility: hidden; width: 100%; z-index: 5; z-index: var(--p72-z-index-5); background-color: var(--p72-color-background); color: var(--p72-color-content); } /* ========================================================= Mobile Menu Open State Add class c-menu-mobile-is-active to body or parent ========================================================= */ @media (max-width: 767px) { .c-menu-mobile-is-active .c-menu-mobile { transform: translateZ(0); visibility: visible; } body.c-menu-mobile-is-active { overflow: hidden; } } /* ========================================================= Mobile Menu Item ========================================================= */ .c-menu-mobile__menu-item { border-bottom: 1px solid #505a6b; border-bottom: var(--p72-border-width) solid var(--p72-color-border); display: flex; flex-flow: column nowrap; gap: 0.25rem; gap: var(--p72-space-xxs); overflow: hidden; width: 100%; } /* ========================================================= Mobile Menu Link / Button ========================================================= */ .c-menu-mobile__link { align-items: center; background: transparent; border: none; color: #f5f4ee; color: var(--p72-color-content); cursor: pointer; display: flex; font: 700 1.25rem/1.1 Aptos, sans-serif; font: var(--p72-typography-heading-xs); gap: 0.25rem; gap: var(--p72-space-xxs); justify-content: space-between; letter-spacing: 0.06em; letter-spacing: var(--p72-letter-spacing-wide); 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text-decoration: none; } @media (max-width: 768px) { .c-menu-mobile--sub-menu a { font-size: 0.875rem; } } .c-menu-mobile--sub-menu a:focus, .c-menu-mobile--sub-menu a:hover { color: #b08725; color: var(--p72-color-content-stronger); } /* Show submenu when menu item is active */ .c-menu-mobile__menu-item.this-is-active .c-menu-mobile--sub-menu { display: block; } /* ========================================================= Header Style When Mobile Menu Is Active ========================================================= */ .c-menu-mobile-is-active .c-header { backdrop-filter: blur(0); border-color: #505a6b; border-color: var(--p72-color-border); } /* ========================================================= Hamburger Button Base ========================================================= */ .o-button-hamburger { align-items: center; -webkit-appearance: none; -moz-appearance: none; appearance: none; background: transparent; border: none; color: #f5f4ee; color: var(--p72-color-content); cursor: pointer; display: flex; height: 50px; padding: 0; --p72-hamburger-line-height: 1px; --p72-hamburger-line-spacing: 6px; --p72-hamburger-line-width: 25px; --p72-hamburger-lines-total-height: calc( var(--p72-hamburger-line-spacing) * 2 + var(--p72-hamburger-line-height) * 3 ); } .o-button-hamburger__label { font: 700 1rem/1.1 Aptos, sans-serif; letter-spacing: 0.06em; letter-spacing: var(--p72-letter-spacing-wide); text-transform: uppercase; } .o-button-hamburger__lines { height: var(--p72-hamburger-lines-total-height); margin-left: 0.25rem; margin-left: var(--p72-space-xxs); position: relative; transition: transform 0.5s ease-in-out; width: var(--p72-hamburger-line-width); } .o-button-hamburger__line { background-color: currentcolor; height: var(--p72-hamburger-line-height); left: 0; position: absolute; transition: transform 0.3s ease, top 0.3s ease, opacity 0.3s ease; width: 100%; } .o-button-hamburger__line:first-child { top: 0; } .o-button-hamburger__line:nth-child(2) { top: calc( var(--p72-hamburger-line-spacing) + var(--p72-hamburger-line-height) ); } .o-button-hamburger__line:nth-child(3) { top: calc( (var(--p72-hamburger-line-spacing) + var(--p72-hamburger-line-height)) * 2 ); } /* ========================================================= Hamburger Active Animation Triggered by .c-menu-mobile-is-active ========================================================= */ .c-menu-mobile-is-active .o-button-hamburger__line:first-child { top: 50%; transform: rotate(45deg); } .c-menu-mobile-is-active .o-button-hamburger__line:nth-child(2) { opacity: 0; } .c-menu-mobile-is-active .o-button-hamburger__line:nth-child(3) { top: 50%; transform: rotate(-45deg); } /** * Extracted scroll-related functionality from the bundled app. * * Requires: * - GSAP * - ScrollTrigger * - Optional: jQuery if using the jQuery-based class add below * * If you are using ES modules: * * import gsap from "gsap"; * import ScrollTrigger from "gsap/ScrollTrigger"; * * gsap.registerPlugin(ScrollTrigger); */ /* ========================================================================== Cookie consent scroll/resize height tracking ========================================================================== */ const COOKIE_NOTICE_KEY = "p72_cookie_notice_dismissed"; 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Fundamental Equities Data Analyst - US

Apply Now

Experience

Experienced Professionals

Location

New York | Stamford | San Francisco | Chicago | West Palm Beach / Miami

Focus

Data Science & Analytics

Business

Point72

A Career with Point72’s Fundamental Equities Business

Fundamental Equities is Point72’s largest and longest-tenured investing business. For more than 30 years, we have equipped our analysts and portfolio managers with the resources, autonomy, and support we believe they need to build exceptional careers that reflect their unique strengths as investors.

We maintain a high bar for hiring and make a deep, long-term investment in our talent—the tenure of our people reflects our focus on understanding and underwriting process, not just looking at yesterday’s PnL.

Steve Cohen started this firm as an equities investor and has maintained a lifelong commitment to helping the best in our industry get even better. We have a strong track record of identifying, supporting, and advancing our homegrown talent—as of this posting, more than half of the PMs launched through our emerging manger program, Point72 LaunchPoint, were previously analysts at our firm. This commitment is further reinforced through dedicated coaching and development programs designed to help accelerate growth at every phase of an analyst’s career.

For people with the passion and drive to become truly great equities investors, Point72 offers an environment unlike any other.

What You'll Do

As a data analyst embedded in an investing team, you will help drive innovation by leveraging a variety of data sources and systems. You will work directly with a portfolio manager and their team of research analysts to connect data and fundamental research. Your work will support investment theses and help inform investment decisions. Specifically, you will:

Help analyze a broad universe of Compliance-approved data to directly influence idea generation and investment decisions, with an emphasis on equities.
Design, build, and maintain data products and predictive models that enable analysis of key performance indicators (KPIs) and forward-looking metrics relevant to your specific sector.
Investigate and explore innovative approaches to extract meaningful information from complex datasets.
Develop agile, automated systems that rapidly ingest, synthesize, and analyze diverse sets of information in real-time, producing actionable insights to support timely decision-making.
Optimize and scale existing data infrastructure to enhance performance, reliability, and adaptability in handling complex, high-volume data streams.
Develop and maintain high-quality, efficient, and modular code, creating well-documented custom libraries and data pipelines that enhance the team's analytical capabilities and ensure reproducibility of results.
Stay on top of the newest technologies approved for use across the firm.
Partner with Compliance on various initiatives such as approved data sources, permissibility of systems, and analytics.

What’s Required

Undergraduate degree or higher.
Quantitative ability as demonstrated through relevant coursework or work equivalent.
Experience working with diverse data types including structured, unstructured (e.g., text), and time-series data.
Strong understanding of statistical concepts and their application to large-scale data analysis, with an interest in applying these skills to financial datasets.
Strong coding skills in a high-level programming language (e.g., Python, R, or similar). Familiarity with version control systems (such as Git) and collaborative development practices.
Strong data visualization skills, with experience in creating informative visualizations using coding languages like Python or R.
Strong analytical and problem-solving skills, with the ability to approach complex issues systematically and creatively. Demonstrated capacity to translate business questions into data-driven solutions.
Team player with an entrepreneurial spirit and good communication skills.
Deep intellectual curiosity and lifelong-learning mindset.
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
Volunteer opportunities
Support for employee-led affinity groups representing women, people of color and the LGBT+ community
Mental and physical wellness programs
Tuition assistance
A 401(k) savings program with an employer match and more

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. For more information, visit https://point72.com/. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

The annual base salary range for this role is $150,000-$240,000 (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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Education background
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A Career with Point72’s Fundamental Equities Business

For people with the passion and drive to become truly great equities investors, Point72 offers an environment unlike any other.

What You'll Do

Help analyze a broad universe of Compliance-approved data to directly influence idea generation and investment decisions, with an emphasis on equities.
Design, build, and maintain data products and predictive models that enable analysis of key performance indicators (KPIs) and forward-looking metrics relevant to your specific sector.
Investigate and explore innovative approaches to extract meaningful information from complex datasets.
Develop agile, automated systems that rapidly ingest, synthesize, and analyze diverse sets of information in real-time, producing actionable insights to support timely decision-making.
Optimize and scale existing data infrastructure to enhance performance, reliability, and adaptability in handling complex, high-volume data streams.
Develop and maintain high-quality, efficient, and modular code, creating well-documented custom libraries and data pipelines that enhance the team's analytical capabilities and ensure reproducibility of results.
Stay on top of the newest technologies approved for use across the firm.
Partner with Compliance on various initiatives such as approved data sources, permissibility of systems, and analytics.

What’s Required

Undergraduate degree or higher.
Quantitative ability as demonstrated through relevant coursework or work equivalent.
Experience working with diverse data types including structured, unstructured (e.g., text), and time-series data.
Strong understanding of statistical concepts and their application to large-scale data analysis, with an interest in applying these skills to financial datasets.
Strong coding skills in a high-level programming language (e.g., Python, R, or similar). Familiarity with version control systems (such as Git) and collaborative development practices.
Strong data visualization skills, with experience in creating informative visualizations using coding languages like Python or R.
Strong analytical and problem-solving skills, with the ability to approach complex issues systematically and creatively. Demonstrated capacity to translate business questions into data-driven solutions.
Team player with an entrepreneurial spirit and good communication skills.
Deep intellectual curiosity and lifelong-learning mindset.
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
Volunteer opportunities
Support for employee-led affinity groups representing women, people of color and the LGBT+ community
Mental and physical wellness programs
Tuition assistance
A 401(k) savings program with an employer match and more

About Point72

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Specifically, you will:\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EHelp analyze a broad universe of Compliance-approved data to directly influence idea generation and investment decisions, with an emphasis on equities.\u003C/li\u003E\u003Cli\u003EDesign, build, and maintain data products and predictive models that enable analysis of key performance indicators (KPIs) and forward-looking metrics relevant to your specific sector.\u003C/li\u003E\u003Cli\u003EInvestigate and explore innovative approaches to extract meaningful information from complex datasets.\u003C/li\u003E\u003Cli\u003EDevelop agile, automated systems that rapidly ingest, synthesize, and analyze diverse sets of information in real-time, producing actionable insights to support timely decision-making.\u003C/li\u003E\u003Cli\u003EOptimize and scale existing data infrastructure to enhance performance, reliability, and adaptability in handling complex, high-volume data streams.\u003C/li\u003E\u003Cli\u003EDevelop and maintain high-quality, efficient, and modular code, creating well-documented custom libraries and data pipelines that enhance the team\'s analytical capabilities and ensure reproducibility of results.\u003C/li\u003E\u003Cli\u003EStay on top of the newest technologies approved for use across the firm.\u003C/li\u003E\u003Cli\u003EPartner with Compliance on various initiatives such as approved data sources, permissibility of systems, and analytics.\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003E\u003Cbr\u003E\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EWhat’s Required\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EUndergraduate degree or higher.\u003C/li\u003E\u003Cli\u003EQuantitative ability as demonstrated through relevant coursework or work equivalent.\u003C/li\u003E\u003Cli\u003EExperience working with diverse data types including structured, unstructured (e.g., text), and time-series data.\u003C/li\u003E\u003Cli\u003EStrong understanding of statistical concepts and their application to large-scale data analysis, with an interest in applying these skills to financial datasets.\u003C/li\u003E\u003Cli\u003EStrong coding skills in a high-level programming language (e.g., Python, R, or similar). Familiarity with version control systems (such as Git) and collaborative development practices.\u003C/li\u003E\u003Cli\u003EStrong data visualization skills, with experience in creating informative visualizations using coding languages like Python or R.\u003C/li\u003E\u003Cli\u003EStrong analytical and problem-solving skills, with the ability to approach complex issues systematically and creatively. Demonstrated capacity to translate business questions into data-driven solutions.\u003C/li\u003E\u003Cli\u003ETeam player with an entrepreneurial spirit and good communication skills.\u003C/li\u003E\u003Cli\u003EDeep intellectual curiosity and lifelong-learning mindset.\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\u003EVolunteer opportunities \u003C/li\u003E\u003Cli\u003ESupport for employee-led affinity groups representing women, people of color and the LGBT+ community \u003C/li\u003E\u003Cli\u003EMental and physical wellness programs\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\\\"\u003E\u003Cstrong\u003Ehttps://point72.com/\u003C/strong\u003E\u003C/a\u003E. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\u003C/p\u003E\u003Cp\u003E\u003Cbr\u003E\u003C/p\u003E\u003Cbr\u003E\u003Cp\u003EThe annual base salary range for this role is $150,000-$240,000 (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\":\"012j0000000tieqAAA\",\"Type__c\":\"Full Time\",\"LastModifiedDate\":\"2026-06-01T16:16:00.000+0000\",\"Location__c\":\"New York, New York\",\"Company__r\":{\"attributes\":{\"type\":\"Account\",\"url\":\"/services/data/v67.0/sobjects/Account/001j000000VbgAOAAZ\"},\"Business__c\":\"Point72\",\"Name\":\"Point72 Asset Management, L.P.\",\"Id\":\"001j000000VbgAOAAZ\",\"RecordTypeId\":\"012j0000000tIlgAAE\"},\"RecordType\":{\"attributes\":{\"type\":\"RecordType\",\"url\":\"/services/data/v67.0/sobjects/RecordType/012j0000000tieqAAA\"},\"DeveloperName\":\"Financial_Analyst\",\"Name\":\"Financial Analyst\",\"Id\":\"012j0000000tieqAAA\"}},\"friendlyJobName\":\"fundamental-equities-data-analyst-us\",\"formattedTeam\":\"Data Science & Analytics\",\"formattedLocation\":\"New York | Stamford | San Francisco | Chicago | West Palm Beach / Miami\",\"formattedArea\":\"Research, Data & Analytics\"}');

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