Data Scientist | Post Trade Analytics
Core
Analyze post-trade data to uncover competitive edges, model exchange performance, and design anomaly detection algorithms for trading infrastructure.
Role type
Data Scientist (Post-Trade Analytics)
Builds
Foundational analyses for trading strategies and performance optimization
Domain
High-Frequency Trading (HFT) / Financial Markets
Deliverable
production ML models | dashboards & analysis
Required skills
Python (3+ years), Statistics, Data Analysis, Problem Solving, Anomaly Detection, Mathematical Methodology
Preferred skills
C++, SQL, Machine Learning, Network Protocols (IP, UDP, TCP, Ethernet)
Technologies
Python, C++, SQL
Responsibilities
Identify relationships between business metrics and infrastructure changes; Partner with trading teams for statistical analysis; Conduct research to model exchange performance; Develop mathematical methodologies to quantify application impact; Design anomaly detection algorithms for performance degradation.
Seniority
Mid-Senior, hands-on IC
