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This specialized high-frequency trading (HFT) quantitative graduate scheme focuses on engineering ultra-low-latency execution systems, tasking graduates with deciphering exchange network protocols and market data APIs to write performance-optimized code that supports automated algorithmic trading strategies.
Description
Queueco is looking for a bright & enthusiastic graduate to join the team to learn and develop skills as a quantitative developer specialising in High-Frequency Trading (HFT).
You will work closely with traders and researchers to understand exchange architectures, protocols, market data and order entry APIs. You are able to translate this understanding into our low-latency solutions to profitably trade on the largest exchanges. This position requires a strong focus and immaculate attention to detail, exceptional programming skills, and ideally a passion for financial markets.
A successful candidate will be able to demonstrate their skill and interest with relevant internships and projects
Please note that this is an onsite role, and remote work options are not available.
Requirements
Required Qualifications
Bachelor’s or Master's degree in Computer Science, Mathematics, Finance, or a related field
We Also Value
Understanding of financial markets and trading concepts
Experience in writing performance-optimised code in Java, Rust, Golang, C++ or C#
Experience in quantitative development within the HFT space
Desire to learn new languages and technologies
Join us at Queueco, where your contributions will have a direct impact on our trading success!
Benefits
Competitive base salary
Discretionary bonus scheme
Private health insurance
Pension scheme contributions
Free Friday lunches, drinks and snacks
Conference & training budget
Central London office
How to apply
Apply directly through the company website. Clicking the link below will open the application page in a new window.

Location: London, UK
Industry: Banking & Financial Services
This independent, data-driven proprietary trading firm focuses on architecting automated algorithmic trading systems, utilizing low-latency infrastructure and predictive machine learning models to deploy strategies 24/7 across conventional and digital asset financial markets.
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