About the Role
ResponsibilitiesDesigning and implementing a low latency high-frequency trading platform, which includes collecting quotes and trades from and disseminating orders to exchanges around the world
Assisting in the development of a tick by tick backtesting research platform
Assisting in development and optimizing large-scale parallel computation problems that requires large quantities of data shared across resources
Optimizing the computational efficiency of existing machine learning based algorithms to drive higher performance and faster learning rates
Developing systems, interfaces and tools to historical market data and trading simulations that increase research productivity
Creating tools to analyze data and generate insights that research decisions are based on A degree in Computer Science or a related field
Solid practical experience with Python and C++ development
Requirements
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