About the job
At Jump Trading Group, we are dedicated to pioneering research that transforms the landscape of global financial markets. We empower talented individuals in Mathematics, Physics, and Computer Science to explore scientific frontiers and apply groundbreaking research in our operations. Our environment fosters constant innovation, encouraging creativity, intellectual integrity, and a competitive spirit. We believe in collective success, harnessing individual talents through collaboration and respect. Our research initiatives not only drive superior risk-adjusted returns but also lead to the development of transformative technologies, funding of startups, and partnerships with leading research institutions and universities to tackle complex challenges.
The Post Trade Analytics Team at Jump Trading is integral in evaluating and enhancing performance and trade execution across all markets where we operate. This team is tasked with creating, managing, and refining performance measurement solutions, alongside executing a diverse array of post-trade analyses that support various departments including trading, business development, and central teams. Our core infrastructure processes and organizes billions of data points daily, providing insight into trading performance.
As a Data Scientist on the Post Trade Analytics team, you will engage in advanced analyses of this vast dataset to uncover competitive advantages, resolve intricate business inquiries, and diagnose root causes of underperformance. This position offers a unique perspective into Jump's operations through a data-centric lens, alongside the chance to cultivate expertise in trading and technical domains. Your contributions will be vital in leveraging data to inform strategic decisions and drive Jump's success. We seek a naturally curious, self-motivated individual who is eager to explore the trading landscape and has a proven track record of independently driving projects to completion within a collaborative team setting.

