Data Engineer, Proprietary Research

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 researchers, product managers, and data scientists work together to build compliant research products that answer the questions posed by our investment professionals. We look for other bright, motivated, and collaborative people to join our team and grow with us—more than 90% 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. As a member of our Data Engineering team, you will:

• Develop and support big data processing pipelines, including ingestion, transformation, and end-customer delivery.
• Build out cloud-based infrastructure using distributed techniques for other data engineers, data scientists, and researchers.
• Be at the forefront of new technology developments in handling and processing big data, conducting proof of concepts evaluations of new technologies.
• Build and support visualization and exploration capabilities around our big data sets.

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 solution-oriented attitude.
• Adherence to the highest ethical standards while working closely with the Firm’s Compliance team.

What’s Required

• Experience or demonstrated interest in big data technologies.
• 3+ years of experience in Data Engineering or a related field.
• Strong experience in Python development; experience with Spark or 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.

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.
• Mental and physical wellness programs.
• Volunteer opportunities and a non-profit matching gift program.
• Support for employee-led affinity groups representing women, minorities, and the LGBTQ+ community.
• Tuition assistance.
• A 401(k) savings program with an employer match 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/working-here.

The annual base salary range for this role is $160,000-$220,000 (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.