Overview
Job Description
Trexquant is a growing systematic fund at the forefront of quantitative finance, with a core team of highly accomplished researchers and engineers. We are in the process of optimizing and reimagining our quant platform to keep pace with our expanding business. To support our rapid growth, we are seeking a talented Trading & Simulator Engineer to join our technology team and help build the next generation of our firm-wide backtesting platform. This is a high priority initiative.
As a Trading & Simulator Engineer, you will work closely with quantitative researchers and Senior Management to design, develop, and optimize cutting-edge high-performance systems for algorithmic trading. Your responsibilities will include building and maintaining the core infrastructure for trading simulations, data pipelines, and low-latency execution platforms. The ideal candidate will have a strong background in Complex systems-level design & programming in Python and/or C++, and experience in creating scalable, low-latency, high-throughput systems.
Responsibilities
- Design, build, and maintain greenfield infrastructure for quantitative research, backtesting, and strategy deployment, leveraging the latest and most advanced technologies, tools, and frameworks to develop scalable, high-performance systems.
- Collaborate closely with quantitative researchers and senior management to develop innovative technical solutions that enhance research productivity, backtesting accuracy, and trading performance, while continuously optimizing infrastructure for large-scale data processing and complex model computations.
- Develop and automate data pipelines, research tools, and model deployment workflows using best-in-class, cutting-edge technologies, ensuring efficient data access, seamless integration with trading systems, and reliable support for researchers and traders.
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