National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Quantitative Developer (Low-Level C++)

Oxford Knight
Greater London
1 month from now
Create job alert

My client is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. A technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped the collaborative mindset, enabling them to solve the most complex challenges. They have a culture of innovation which continuously drives their ambition to deliver high quality returns for investors.

About the Role:


Seeking an exceptional Quantitative Developer specializing in low-level C++ and metaprogramming to contribute to ultra-high-frequency trading strategies. This role requires extensive expertise in memory management, threading, CPU caching, and Linux systems, with an emphasis on high-performance and low-latency coding. The candidate will interact with FPGA systems and work closely on optimizing and developing trading strategies.

Develop, optimize, and maintain high-performance C++ code for ultra-low-latency trading systems.


Work on strategy interaction with FPGA to ensure seamless integration.
Mentor junior developers, fostering technical growth and best practices.
Collaborate with infrastructure and network teams to ensure optimal system performance.
Demonstrate high autonomy in managing tasks and lead technical initiatives.

Requirements:

8+ years of C++ development experience, with a strong focus on low-level C++ and metaprogramming.


In-depth knowledge of memory management, multithreading, CPU cache optimization, and Linux.
Familiarity with high-frequency trading systems; finance experience is a plus but not mandatory.
Solid understanding of infrastructure and network basics.
Proven leadership and mentoring abilities with a self-directed approach to work.

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Related Jobs

View all jobs

Senior Quantitative Developer - Macro Hedge Fund

Senior Quantitative Developer - Macro Hedge Fund

Senior Quantitative Developer (UK, Singapore, Poland, France)

Senior Quantitative Developer...

Senior Quantitative Developer (Low-Level C++)

Senior C++ Quantitative Developer - Ultra High Frequency Trading- Leading Quant & Systematic Fu[...]

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.