Job Description - Graduate Quantitative Developer HFT / Low-Latency Systems
We are working with a quantitative trading firm looking to hire an exceptional graduate developer to join its High-Frequency Trading team.
This is not a general graduate technology role. We are looking for someone with genuinely strong programming ability who enjoys solving difficult, performance-sensitive technical problems and wants to build systems used in live electronic trading.
You will work closely with traders and quantitative researchers to understand exchange architecture, market data feeds, order-entry protocols and APIs, then translate that understanding into low-latency trading technology used across major global exchanges.
The role
You will:
Develop and optimise low-latency trading systems
Work directly with traders and quantitative researchers
Understand exchange architecture, protocols, market data and order-entry APIs
Build reliable, performance-sensitive production code
Investigate latency, execution and system behaviour in live markets
Learn how HFT strategies operate from research through to production
What we are looking for
Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering or another highly technical discipline
Excellent programming and problem-solving ability
Strong proficiency in at least one of C++, Java, Rust, Golang or C#
Strong academic performance
Genuine interest in electronic trading, financial markets and HFT
Exceptional attention to detail
You are likely to stand out if you have
A relevant internship in HFT, quantitative trading, market making or high-performance software engineering
Experience with performance optimisation, concurrency, networking, memory management or systems programming
Significant technical projects beyond standard university coursework
Competitive programming or similar evidence of strong algorithmic problem-solving
Built trading systems, exchange simulators, backtesting infrastructure or other technically demanding projects
Experience working with market data or exchange protocols
Previous professional HFT experience is not required . However, successful candidates should be able to demonstrate exceptional technical ability through internships, projects, competitions or other substantial work.
Candidates whose programming experience is primarily limited to Python, data analysis or standard university coursework are unlikely to be a fit for this particular role.
This is a fully onsite position and remote working is not available
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