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Responsibilities
- Designing and implementing a low latency high-frequency trading platform
- 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
- 1-5 years of practical experience with C++ and 1-2 years of meaningful experience with Python
- A strong background in data structures, algorithms, and object-oriented programming
- Demonstrated academic excellence
- Strong working knowledge of Linux, and some SQL knowledge
- Brilliant detail oriented problem-solving abilities
- Passion for innovation and building systems from the ground up
- A self-starter attitude with the ability to work independently and own problems
- The ability to manage multiple tasks and make decisions in a fast-paced environment
- Strong communication skills in English for business purposes
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