C++ LL Quant Developer, Equities - London / Amsterdam- Leading Global Hedge Fund | London, UK

Oxford Knight; London; On-site; GBP 90,000 - 150,000; Full time

Job summary

A leading global hedge fund in London is looking for a C++ LL Quant Developer to design and implement robust low-latency systems. The role involves optimizing trading performance, developing execution algorithms, and working closely with trading teams to create high-performance infrastructure.

Qualifications

• 5+ years in a front-office financial environment as a senior contributor.
• 10+ years overall experience, preferred in proprietary finance or HFT.
• Strong knowledge of C++17/C++20 features.

Responsibilities

• Develop execution algorithms and order management systems.
• Collaborate with trading teams to optimize performance.
• Enhance platform efficiency through systems programming.

Skills

C++

Data Structures

Algorithms

Multithreading

Asynchronous Programming

Low-Latency Systems

Linux System Internals

Market Data Analysis

Python

Job description

C++ LL Quant Developer, Equities - London / Amsterdam

This is a top-tier global hedge fund committed to leveraging innovations in technology and data science to solve complex problems. We are seeking a Quantitative Developer passionate about designing, architecting, and implementing low-latency C++ systems that are robust, resilient, accurate, and exceptionally fast. You will work directly with the firm's central trading teams to construct and maintain high-performance infrastructure, enabling new trading opportunities and optimal execution performance across regions.

Job Duties

• Develop execution algorithms, order management systems, strategy containers, connectivity, and messaging systems.
• Collaborate with trading teams to optimize execution performance.
• Enhance platform efficiency through network and systems programming to reduce latency.
• Create systems and tools for market data analysis and trading simulations to improve research productivity.
• Build and maintain automated tests and performance benchmarking frameworks.
• Work closely with trading teams to gather requirements and develop solutions in a fast-paced environment.

Qualifications

• 5+ years of experience in a front-office, financial services environment as a senior contributor.
• 10+ years of professional experience, with preference for candidates experienced in proprietary finance, HFT, or market-making.
• Strong knowledge of data structures, algorithms, and object-oriented programming in C++, including proficiency with C++17 and C++20 features.
• Experience with multithreading and asynchronous programming.
• Understanding of low-latency, real-time system design and implementation.
• Knowledge of Linux system internals and networking.
• Financial experience across asset classes, focusing on low-latency trading systems for equities and futures.
• Familiarity with Python for quantitative research and data processing.
• Experience analyzing execution algorithm performance.

Salary: Variable, based on technical ability. The firm is known for market-leading compensation, not tied to current earnings or experience years.

Contact

If interested or seeking more information, please contact:

Sam Jenkins

[e-mail]
[phone]
linkedin.com/in/sam-jenkins-b517021b4