Software Engineer
Posted Updated
Summary
Builds and optimizes low-latency C++ components for a high-frequency trading platform in Singapore, working directly with quants and traders on quote/order handling, tick-by-tick backtesting, large-scale parallel computation, and speeding up machine-learning algorithms. Core stack: C++, Python, Linux.
Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities.
Tower Research Capital seeks a Software Developer to work directly with Quants and Traders in one of our trading teams in Singapore to implement cutting-edge, low-latency C++ code for various strategies and components of the team's high-frequency, high-throughput production trading and research system.
Responsibilities
Designing 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 Requirements
A degree in Computer Science or a related field At least 1 year of solid practical experience with Python and C++ development A strong background in data structures, algorithms, and object-oriented programming Experience in developing or working with any cloud computing framework is a plus Good experience with Bash and Linux Brilliant detail oriented problem-solving abilities 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
Designing 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 Requirements
A degree in Computer Science or a related field At least 1 year of solid practical experience with Python and C++ development A strong background in data structures, algorithms, and object-oriented programming Experience in developing or working with any cloud computing framework is a plus Good experience with Bash and Linux Brilliant detail oriented problem-solving abilities 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