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

Nominate & Attend

C++ Quantitative Developer

NJF Global Holdings Ltd
London
1 month ago
Applications closed

Related Jobs

View all jobs

Systems Engineer

Data Quality Executive and Client Services Assistant

Analytics Engineer

Customer Success Manager – Aftermarket Service Manager

ERP System Implementation Lead

Accounts Payable / P2P Team Lead

This is a mid-level C++ Quant Developer (suitable for a candidate in the 4-6 YOE range) will be responsible for designing, developing, and optimizing high-performance, low-latency trading infrastructure and quantitative models within a hedgefund in London. This role focuses on implementing models related to Stochastic Processes & Probabilistic Modeling, ensuring their efficient execution within a real-time trading environment. The developer will work closely with quantitative researchers and traders to translate mathematical concepts into robust and highly optimized C++ code.


Key Responsibilities

  • Infrastructure Development:Build and maintain critical low-latency trading infrastructure components using modern C++ standards (C++17/20).
  • Quantitative Model Implementation:Translate quantitative models, particularly those involving stochastic processes (e.g., Brownian motion, jump-diffusion models, Ito processes), into highly efficient and accurate C++ code.
  • Performance Optimization:Identify and resolve performance bottlenecks in existing and new systems, focusing on micro-optimizations, cache efficiency, and concurrency.
  • Latency Reduction:Implement techniques for minimizing latency in data processing, order execution, and market data handling.
  • System Design:Contribute to the architectural design of distributed, scalable, and resilient trading systems.
  • Testing and Validation:Develop comprehensive unit, integration, and performance tests for all implemented components and models.
  • Collaboration:Work effectively with quantitative researchers, traders, and other technology teams to ensure solutions meet business requirements and technical standards.
  • Code Quality:Adhere to best practices in software development, including code reviews, documentation, and version control.
  • Research & Innovation:Stay current with advancements in C++, low-latency programming, and quantitative finance.


Required Qualifications

  • C++ Expertise:Strong proficiency in modern C++ (C++17/20) with a deep understanding of data structures, algorithms, object-oriented design, and multi-threading.
  • Process and Thread Management:Experience with Inter-Process Communication (IPC) Mechanisms (for example, Pipes, Sockets, Shared Memory) and CPU Scheduling Algorithms (for example, First-Come First-Served, Shortest Job First, Round Robin, Priority Scheduling).
  • Concurrency and Synchronization:Experience with Race Conditions and Critical Sections, Synchronization Primitives (Mutexes, Semaphores, Monitors, Locks), Deadlocks and Deadlock Prevention/Detection/Avoidance, and Condition Variables.
  • Quantitative Finance Knowledge:Solid understanding of quantitative finance concepts, including probability theory, stochastic calculus, and financial derivatives. Specific experience with stochastic processes is essential.
  • Performance Tuning:Experience with performance profiling tools and optimization techniques.
  • Operating Systems:Experience with Linux/Unix environments and system-level programming.
  • Problem-Solving:Strong analytical and problem-solving skills with attention to detail.


Preferred Qualifications

  • Distributed Systems: Knowledge of distributed system architectures and messaging frameworks.
  • Familiarity with Stochastic Processes and Probabilistic Modeling.
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 Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.