Selby Jennings
A leading quantitative hedge fund is seeking a Software Engineer to help build and enhance the technology that powers global trading strategies. This is a hands‑on role focused on high‑performance systems, where precision and reliability are critical. You’ll work closely with researchers and senior engineers to design scalable solutions for real‑time environments.
Responsibilities
Develop and optimize core components of trading infrastructure in modern C++ Integrate quantitative models into production systems Work on messaging, APIs, and distributed architectures for scalability Collaborate with cross‑functional teams to deliver robust technical solutions Contribute to performance tuning, design reviews, and technology evaluations Qualifications
2-5 years of professional experience in software development Strong proficiency in C++ (C++17 or newer preferred) Familiarity with Rust and Python Solid understanding of algorithms, data structures, and multithreading Experience with Linux/Unix environments and performance optimization Familiarity with messaging protocols (e.g., RabbitMQ, Kafka) and relational databases You are familiar with SQL or other relational databases Degree in Computer Science, Engineering, Mathematics, or related field Why join?
Work on mission‑critical systems in a fast‑paced environment Learn from experienced engineers and gain exposure to quantitative finance Opportunity to innovate and make an impact in a collaborative team
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Develop and optimize core components of trading infrastructure in modern C++ Integrate quantitative models into production systems Work on messaging, APIs, and distributed architectures for scalability Collaborate with cross‑functional teams to deliver robust technical solutions Contribute to performance tuning, design reviews, and technology evaluations Qualifications
2-5 years of professional experience in software development Strong proficiency in C++ (C++17 or newer preferred) Familiarity with Rust and Python Solid understanding of algorithms, data structures, and multithreading Experience with Linux/Unix environments and performance optimization Familiarity with messaging protocols (e.g., RabbitMQ, Kafka) and relational databases You are familiar with SQL or other relational databases Degree in Computer Science, Engineering, Mathematics, or related field Why join?
Work on mission‑critical systems in a fast‑paced environment Learn from experienced engineers and gain exposure to quantitative finance Opportunity to innovate and make an impact in a collaborative team
#J-18808-Ljbffr