Fundamental Equities Data Analyst - US

Point72·New York·United States·Hedge Fund & Quant

Point72 is hiring a Fundamental Equities Data Analyst - US in New York. Posted 2025-03-25; applications close 2026-10-25 (in 29 days).

Role details

A Career with Point72’s Fundamental Equities Business

Fundamental Equities is Point72’s largest and most established investing business. For over 30 years, we have equipped our analysts and portfolio managers with the resources, autonomy, and support necessary 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 the process, not just looking at past performance. 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; to date, more than half of the Portfolio Managers launched through our emerging manager program, Point72 LaunchPoint, were previously analysts at our firm. This commitment is further reinforced through dedicated coaching and development programs designed to accelerate growth at every phase of career.

For individuals 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 drive innovation by leveraging various data sources and systems. You will work directly with a portfolio manager and their team of research analysts to connect data with fundamental research, supporting investment theses and informing investment decisions. Specifically, you will:

  • 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 to enable analysis of key performance indicators (KPIs) and forward-looking sector-relevant metrics.
  • Investigate and explore innovative approaches to extract meaningful information from complex datasets.
  • Develop agile, automated systems that rapidly ingest, synthesize, and analyze diverse information sets in real-time, producing actionable insights for timely decision-making.
  • Optimize and scale existing data infrastructure to enhance performance, reliability, and adaptability when 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 result reproducibility.
  • Stay current on the newest technologies approved for use across the firm.
  • Partner with Compliance on various initiatives, such as approved data sources, and system permissibility for analytics.

What's Required

  • Undergraduate degree or higher.
  • Quantitative ability demonstrated through relevant coursework or work experience.
  • 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 is required.
  • Strong data visualization skills, with experience 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 a 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 the posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

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This Fundamental Equities Data Analyst - US role at Point72 runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications.

Jorb AI tracks details for Fundamental Equities Data Analyst - US at Point72. Postings refresh hourly from primary careers pages. Job details mirror the firm's posting; the apply link goes directly to the source. Last refreshed 2026-09-25.

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