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L/S Equities Data Analyst

London, UK

A Career in Long/Short Equities at Point72

Long/short equity is Point72’s core investment strategy, and our success is dependent upon our investing teams, comprised of portfolio managers and research analysts.

Summary

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.

What You’ll Do

  • Work directly with a portfolio manager and a team of research analysts to 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 all aspects 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:

  • Private Medical and Dental Insurances
  • Generous parental and family leave policies
  • Volunteer Opportunities
  • Support for employee-led affinity groups representing women, people of colour and the LGBT+ community
  • Mental and physical wellness programs
  • Tuition assistance
  • Non-contributory pension 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. For more information, visit www.Point72.com/about

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