* Building high-performance components for both live trading and simulation
* Refining, and increasing automation and robustness of the rese...
Description
Building high-performance components for both live trading and simulation
Refining, and increasing automation and robustness of the research infrastructure including alpha estimation, risk modeling, and back testing components
Efficient storage and access scheme for data and reference data across all frequencies, including micro structure data
Researching and implementing performance analytics, including signal performance and post-trade analytics (e.g. slippage, fill-rate, and market impact reports)
Achieving trading system robustness through automated reconciliation and system-wide alerts
Bachelor's degree or higher in Computer Science or other technical discipline
5+ years professional experience developing infrastructure to support quantitative investing
Experience working in a Unix environment
Have very strong programming skills in PYTHON and production level coding experience
Understanding of and experience with data ingestion processes
Understanding of system messaging protocols
Ability to contribute to the strategy research and development process
Solid background in statistic
Experience with execution systems is a strong advantage