Data Scientist | Post Trade Analytics

The Post-Trade Analytics team analyzes trading activity across global markets and diverse datasets. This role applies data science, statistics, modeling, and quantitative research to uncover competitive advantages and improve trading performance.

Responsibilities

• Identify relationships between business metrics and infrastructure changes
• Perform post-trade statistical analysis on trading performance
• Research exchange performance
• Develop mathematical methodologies to quantify application impacts
• Design anomaly detection algorithms
• Develop and improve quantitative research frameworks using Python, C++, and related systems
• Perform other duties as assigned or needed

Requirements

• At least 3 years of Python programming experience focused on data science and analytics
• Ability to collaborate across trading and trading infrastructure teams
• Curiosity about high-frequency trading
• Ability to independently drive tasks and projects to completion
• Strong data intuition
• Excellent problem-solving abilities
• Experience documenting and communicating analysis to technical and business audiences
• Background in statistics
• Experience with C++
• Experience with SQL
• Practical experience with machine learning techniques
• Understanding of IP, UDP, TCP, and Ethernet protocols
• Reliable and predictable availability