Our Data team is responsible for building a world class Data Platform with a centralized source of vendor and proprietary research data. We operate in a very dynamic environment utilizing a sophisticated and diverse technology stack. The team interfaces with all aspects of the firm, from Trading, Research, and Technology to Risk, Middle Office and Accounting – providing individuals within the group a full 360-degree view of Jump. Our Proprietary Data team collects and builds research-ready datasets, financial and non-financial, from primary sources, vendors, and public data; cleans, tags, and organizes them with consistent identifiers, taxonomies, and metadata; sources data not available from vendors and evaluates its quality and provenance. It performs deep data analysis, identifies and corrects data quality issues, and surfaces the conventions behind the datasets we use. The team provides human-in-the-loop review for automated and AI-driven pipelines; and partners with engineers to turn manual workflows into repeatable, automated processes.
This is a senior, hands-on leadership role, working closely with researchers, traders, and engineers across the firm. The role offers the individual the opportunity to develop both business and technical expertise, while significantly contributing to our whole platform.