Description: |
We are in the process of optimizing and reimagining our quant platform to keep pace with our expanding trading operations. To support our rapid growth, we are seeking a talented C++ Software Engineer to join our growing technology team and help build the next generation of trading systems and analytics platforms.
As a C++ Software Engineer, you will work closely with quantitative researchers and traders to design, develop, and optimize 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 C++ development, and experience in creating scalable, low-latency, high-throughput systems.
Responsibilities
- Design, build, and maintain the infrastructure for quantitative research, backtesting, and strategy deployment, including data pipelines, computation engines, and integration with trading systems.
- Continuously optimize the infrastructure to support large-scale data processing and complex model computations.
- Develop and optimize data loading and transformation pipelines to ensure efficient access to high-quality data for analysis and model development.
- Create tools and automation scripts to streamline research workflows, including model training, evaluation, and deployment.
- Collaborate closely with quantitative researchers and traders to understand their needs and deliver technical solutions that enhance research productivity, backtesting accuracy, and trading performance.
- Provide ongoing support to researchers and traders, ensuring clear documentation for tools, systems, and processes.
Requirements
- A degree in Computer Science, Engineering, Mathematics, or a related field
- 1+ years of experience writing production-quality code in C++ (C++ 17/20) with a deep understanding of data structures, algorithms, concurrency patterns, and numeric processing
- Experience designing, implementing, and optimizing low-latency and high-throughput systems, particularly for financial applications.
- Experience with Python programming is a plus
- Experience in alpha/strategy research infrastructure or data pipeline development is a big plus
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