Python Software Engineer

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Our Data team is responsible for building a world class Data Platform with a centralized source of vendor and proprietary research data. This is a growing, high-visibility initiative, not greenfield, but early enough that this engineer will help shape it, with access across the entire platform as the team expands into proprietary datasets. The Vendor Data Group operates in a very dynamic environment utilizing a sophisticated and diverse technology stack, interfacing with all aspects of the firm (from Trading, Research, and Technology to Risk, Middle Office and Accounting) giving individuals within the group a full 360-degree view of Jump.

The Derived Data team, part of the Vendor Data Group, builds the analytical datasets that trading and research rely on: bars and residuals computed from market data, extending to curves, volatility surfaces, greeks, and other derived signals. As Jump's trading style has evolved, the team has brought in new alternative datasets. We are looking for a skilled Software Engineer that will help normalize that data and make it available to researchers and traders at massive scale.