Senior Data Engineer, Proprietary Research
finance:propquant-researchIC5Market Intelligence
Compensation
Not disclosed
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—more than 90% of the leaders in our group were promoted from within.
WHAT YOU'LL DO
Senior Data Engineers on the Proprietary Research team design and build solutions that enable investment professionals to effortlessly extract insights from large, complex structured and unstructured data sets. As a senior member of our Data Engineering team, you will help set technical direction and 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:
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 concepts evaluations of new technologies
Build and support visualization and exploration capabilities around our big data sets
WHAT EXCITES YOU
Technical leadership through hands-on development
Having a broad impact on architecture and team processes
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