2025 Spring Internship - Data Engineer, Proprietary Research

New York, NY

Point72

We invest in Discretionary Long/Short, Macro, and Systematic strategies. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. Join our team to innovate, experiment, and be...

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ABOUT PROPRIETARY RESEARCH

On our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives.

Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions our investment professionals care about most. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within.

ROLE SUMMARY

Data Engineers on the Proprietary Research team design and build solutions that enable investment professionals to effortlessly extract insights from large, complex, compliance-approved structured and unstructured data sets. Over your 16-week internship as a member of our Data Engineering team in our New York office, you will:

  • Work closely with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end data pipelines and tools that that help extract the most value out of P72’s data assets
  • Develop and support big data processing pipelines including but not limited to ingestion, transformation, and end-customer delivery
  • Build out cloud-based infrastructure using distributed techniques for other data engineers/data scientists/researchers
  • Be at the forefront of new technology developments with respect to the handling and processing of big data and conduct proof-of-concept evaluations of new technologies
  • Build and support visualization and exploration capabilities around our big data sets

WHAT EXCITES YOU

  • Transforming large, unstructured data sets into valuable investment research inputs
  • Learning and working with industry-leading cloud-computing technologies
  • Speaking with experts both inside and outside our firm to understand data needs and offerings
  • Fast-paced work environments that at times require switching gears to address the needs of the business
  • Working as part of a cross-functional team made up of Investment, Research, and Compliance professionals

WHAT EXCITES US

  • Excellent attention to detail, organization, and project management skills
  • Superb business intuition and a solution-oriented, methodological approach to problem solving
  • Ability to collaborate and build relationships across multiple business units within the firm
  • People who “elevate the room” through their work ethic, curiosity, and attitude
  • Adherence to the highest ethical standards and working closely with the firm’s Compliance team

WHAT’S REQUIRED

  • Commitment of 40 hours weekly from January-April 2025 onsite at our office in New York, NY
  • Recent graduation from or current enrollment in a Bachelor’s or Master’s degree program
  • Experience or demonstrated interest in big data technologies
  • Solid understanding of computer science fundamentals (data structures, algorithms, etc.)
  • Strong experience in Python development
  • Interest in working with data and big data problems and technologies, such as Spark and Scala
  • Ability to devise novel and innovative solutions to challenges
  • Knowledge of/experience with graph databases is a plus

WHAT SUCCESS LOOKS LIKE

  • Integrity—You demonstrate 100% commitment to the highest ethical standards
  • Ownership—You take charge of your work, uphold your commitments, and always do your best
  • Commerciality—You focus on what matters, ask necessary questions, and are diligent about not wasting time
  • Humility—You welcome and are receptive to feedback and learn from past mistakes
  • Adaptability—You can triage business needs and context switch quickly and efficiently
  • Admirability—You elevate the room through your work ethic, domain knowledge, and work product

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/working-here.

The annual base salary range for this role is $130,000-$155,000 (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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Tags: Big Data Computer Science Data pipelines Engineering Pipelines Python Research Scala Spark Unstructured data

Perks/benefits: Career development Salary bonus

Region: North America
Country: United States

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