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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.
- 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
- At least 3+ years of programming experience in Python with a data science and analytics focus
- Strong data intuition combined with a healthy skepticism for easy conclusions
- Excellent problem solving abilities
- Experience in documenting and communicating analysis to both technical and business audiences.
- Background in statistics
- Experience with C++ is a plus.
- Experience with SQL is a plus.
- Practical experience with Machine Learning techniques is a plus.
- Understanding of network protocols (IP, UDP, TCP, Ethernet) is a plus.
- Reliable and predictable availability