Hunter Bond05.02.26
AI SCORE 8.5

Senior C++ Software Engineer - High-Performance Quant Trading

$150K–$250K/year
RemoteHybridFinTechVisaRelocation

About the Role

We are seeking a talented Senior C++ Software Engineer to join a leading quant trading fund based in London. This Senior C++ Software Engineer remote position offers the opportunity to work in a high-performance computing team, where you will be responsible for building low-level programming and distributed systems. If you have experience in elite quant trading firms or similar environments, this role is perfect for you!

What You'll Do

  • Develop and optimize high-performance C++ applications for quantitative trading.
  • Work with distributed systems to enhance trading strategies and performance.
  • Collaborate with a team of experts to implement cutting-edge technology solutions.
  • Contribute to the design and architecture of scalable software systems.
  • Participate in code reviews and maintain high coding standards.

Requirements

  • Degree in Computer Science or a related field with a 1st class grade.
  • Proven commercial experience in C++ Software Engineering.
  • Strong background in performance software and financial trading systems.
  • Experience in a high-performance, tech-driven environment.
  • Interest in working for a top-tier hedge fund.

Nice to Have

  • Experience with distributed computing frameworks.
  • Familiarity with algorithmic trading strategies.
  • Knowledge of financial markets and instruments.

What We Offer

  • Competitive salary package ranging from £150k to £250k+.
  • Excellent bonus culture and career growth opportunities.
  • Flexible work arrangements with WFH/Hybrid options.
  • Visa sponsorship and relocation support for overseas candidates.
  • A dynamic and collaborative work environment.
Why This Job8.5 of 10

This role offers an exciting opportunity for experienced C++ engineers to work in a high-performance quant trading environment with excellent compensation and benefits.

Salary Range
Required
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Optional
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Bonus
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About Hunter Bond

Explore Hunter Bond careers in 2026 and discover exciting job opportunities across remote, hybrid, and office roles. Our platform offers advanced filters to refine your search, application tracking to monitor your progress, and valuable company insights to help you find the perfect fit. Start your journey towards a fulfilling career at Hunter Bond today and unlock your potential in an evolving job market.

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficient in C++ with a deep understanding of memory management and optimization techniques, specifically for high-performance computing applications in trading environments.

Self-motivated and disciplined, thriving in a remote or hybrid work setting, capable of managing time effectively while collaborating across distributed teams.

Strong background in algorithmic trading, with experience developing and optimizing trading algorithms in a fast-paced, quantitative finance setting.

Learning Resources

C++ Programming Language (4th Edition)book

Career Path

Senior C++ Software Engineer - High-Performance Quant Trading(Now)Lead Software Engineer - Quantitative Trading Systems(1-2 years)Director of Software Engineering - Quant Trading(3-5 years)

Market Overview

Market Size 2024
$7.3B
Annual Growth
8.2%
AI Adoption in Trading
45%
Investment in High-Performance Computing
+25%
Labour Demand for C++ Developers
+15%
Avg Salary for Senior C++ Engineers
$150K

Skills & Requirements

Required
C++Distributed SystemsHigh-Performance Computing
Growing in Demand
CUDAMachine LearningCloud Computing
Declining
CVisual Basic

Domain Trends

Rise of Algorithmic Trading
Algorithmic trading is expected to account for over 70% of all trading volume by 2025, driven by advancements in AI and high-frequency trading technologies.
Shift to Cloud-based HPC Solutions
The adoption of cloud-based high-performance computing solutions is projected to grow by 30% annually, enabling more scalable and cost-effective trading strategies.
Increased Focus on Security in Trading Systems
With a 40% increase in cyber attacks on financial institutions, the demand for secure coding practices in C++ and distributed systems is becoming critical.

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