Infrastructure Engineer (C++ )

Role Overview: Trexquant is a growing systematic fund at the forefront of quantitative finance, with a team of world-class researchers and engineers. As they continue to expand their trading operations, they are investing heavily in building the next generation of their quantitative research & trading platform. In this role, you will be an Infrastructure Engineer embedded within specific teams like C++ Trading Engineer, C++ Simulation Engineer, or Data Infrastructure Engineer. Your focus will be on developing high-performance trading systems, optimizing trading signals, and working on financial and market data development. Key Responsibilities: - Develop high-performance trading systems in a high-frequency environment using C++ with strict latency and efficiency requirements - Design and optimize short-term trading signals - Support independent trading activities by building robust C++ systems - Collaborate with researchers and technologists to deliver solutions that impact trading performance - Work closely with quantitative researchers and traders to design and optimize high-performance systems for algorithmic trading - Build and maintain core infrastructure for trading simulations - Focus on financial and market data development, building scalable pipelines for web scraping and ingestion of diverse data sources - Develop exchange connectivity solutions by creating high-performance C++ handlers Qualifications Required: - Bachelors, Masters, or PhD in Computer Science or a related STEM discipline - Minimum 2 years of experience in C++ software development in real-time environments - Strong expertise in modern C++ (C++17/20) including advanced features - Experience in building high-throughput, low-latency systems - Strong understanding of Linux fundamentals and systems-level programming - Familiarity with distributed systems and technologies like Kafka, Redis, HTCondor - Working knowledge of Python and its numerical ecosystem (NumPy, SciPy) - Strong analytical thinking and problem-solving skills - Good to have: Experience working with matrix computation and optimization, live market data, profiling and tuning production Linux systems, time-series processing, event-driven systems, and working across C++ and Python boundaries (Note: Omitted the section on any additional details of the company as it was not present in the provided job description) Role Overview: Trexquant is a growing systematic fund at the forefront of quantitative finance, with a team of world-class researchers and engineers. As they continue to expand their trading operations, they are investing heavily in building the next generation of their quantitative research & trading platform. In this role, you will be an Infrastructure Engineer embedded within specific teams like C++ Trading Engineer, C++ Simulation Engineer, or Data Infrastructure Engineer. Your focus will be on developing high-performance trading systems, optimizing trading signals, and working on financial and market data development. Key Responsibilities: - Develop high-performance trading systems in a high-frequency environment using C++ with strict latency and efficiency requirements - Design and optimize short-term trading signals - Support independent trading activities by building robust C++ systems - Collaborate with researchers and technologists to deliver solutions that impact trading performance - Work closely with quantitative researchers and traders to design and optimize high-performance systems for algorithmic trading - Build and maintain core infrastructure for trading simulations - Focus on financial and market data development, building scalable pipelines for web scraping and ingestion of diverse data sources - Develop exchange connectivity solutions by creating high-performance C++ handlers Qualifications Required: - Bachelors, Masters, or PhD in Computer Science or a related STEM discipline - Minimum 2 years of experience in C++ software development in real-time environments - Strong expertise in modern C++ (C++17/20) including advanced features - Experience in building high-throughput, low-latency systems - Strong understanding of Linux fundamentals and systems-level programming - Familiarity with distributed systems and technologies like Kafka, Redis, HTCondor - Working knowledge of Python and its numerical ecosystem (NumPy, SciPy) - Strong analytical thinking and problem-solving skills - Good to have: Experience working with matrix computation and optimization, live market data, profiling and tuning production Linux systems, time-series processing, event-driven systems, and working across C++ and Python boundaries (Note: Omitted the section on any additional details of the company as it was not present in the provided job description)