Data Scientist | Post Trade Analytics
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Overview
Join Jump Trading as a Data Scientist in Post Trade Analytics to analyze trading data, develop methodologies, and enhance trading performance. Competitive salary and innovative environment. Jump Trading Group is committed to world-class research. We empower exceptional talent 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 fostering 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 complex problems.
What you'll do
- •Identify relationships between business metrics and changes on the infrastructure technology
- •Partner with trading teams to perform post trade statistical analysis on trading performance
- •Conduct research for the purpose of modeling exchange performance
- •Develop mathematical methodology to quantify the impact that specific internal applications have on general performance
- •Design innovative anomaly detection algorithms to detect performance degradation
- •Develop and improve quantitative research frameworks using Python, C++, and other software systems
- •Other duties as assigned or needed