Get more replies from employers
Send a job-specific resume in minutes.
Point72 is looking for a Data Engineer for their proprietary research team based in New York. In this role, you'll design and build solutions that enable investment professionals to extract insights from large data sets. Ideal candidates have extensive experience with Python and big data technologies.
You'll be part of a dynamic team and enjoy fully paid healthcare, generous parental leave, and various wellness programs. The annual salary ranges between $160,000 and $220,000, excluding bonuses.
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 and engineers 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.
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 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 Point72’s data assets. In this role, you will:
We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
The annual base salary range for this role is $160,000-$220,000, 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.