Data Scientist, Proprietary Research
finance:propquant-researchIC4Market 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 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.
ROLE SUMMARY
Our Data Scientists conduct research through data mining and statistical modeling to discover insights from big data that are used by our investment professionals to make investment decisions. You will have the opportunity to work in a highly collegial environment that emphasizes teaching and learning as a team. In this role, you will:
Tackle the challenges of featuring and modeling large unstructured data using machine learning and statistical techniques
Manage all aspects of the research and analysis process including methodology selection, data collection and quality, modeling and analysis, and performance monitoring
Deliver research findings to investment teams, portfolio managers, and other internal clients
Work within a team to help drive technical innovation through a collaborative R&D process
WHAT EXCITES YOU
Staying current on the evolving alternative data market and its role in discretionary investing
Speaking with experts both inside and outside the Firm to understand data needs and offerings
Multi-tasking and switching gears frequently to address the needs of the business
Analytical thinking and ability to sift through large unstructured data sets
Working in a fast-