About this role
About the Role
Data Scientist in Jump Trading's Post-Trade Analytics (PTA) team, focused on analyzing post-trade data to uncover competitive edges, develop quantitative methodologies, and support trading performance across global markets. The role blends business and technical work, mining and enriching data to inform critical decisions and improve risk-adjusted returns.
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
What We're Looking For
- Ability to work closely with and collaborate across trading and trading infrastructure teams
- Curiosity, self-drive, and the ability to independently drive tasks in a team environment
- At least 3+ years of programming experience in Python with a data science and analytics focus
- Strong data intuition and healthy skepticism for easy conclusions
- Excellent problem-solving abilities
- Experience 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
Nice to Have
- C++ programming experience
- SQL experience
- Practical experience with Machine Learning techniques
- Understanding of network protocols
Compensation & Benefits
Salary not disclosed. Benefits not listed.