Low Latency - Senior C++ Engineer - Market Data in London

Low Latency - Senior C++ Engineer - Market Data in London

London Full-Time 72000 - 108000 £ / year (est.) No working from home possible
Stanford Black Limited

At a Glance

  • Tasks: Build ultra-low-latency market data platforms using modern C++.
  • Company: Boutique hedge fund with elite engineers and cutting-edge technology.
  • Benefits: Outstanding compensation and a collaborative, innovative environment.
  • Other info: Work alongside top talent from Big Tech and finance.
  • Why this job: Make a real impact on high-speed trading strategies with your code.
  • Qualifications: Experience in performance-critical C++ and a strong educational background.

The predicted salary is between 72000 - 108000 £ per year.

My client is a boutique hedge fund where elite engineers work on some of the world’s most sophisticated trading strategies.

Function:

  • Building one of the fastest market-data platforms in the finance industry.

The trading engines get through billions of ticks per day; your code will decide whether trades land in microseconds or miss the window.

Why This Team?

  • £20 billion AUM, cutting-edge hardware, a blank cheque for code that reduces latency.
  • Your commits light up 20+ global desks within minutes, with no middle layers or bureaucracy.
  • Elite colleagues, generally ex-Big Tech, large funds, Olympiad medalists.
  • Outstanding compensation.

What You’ll Tackle:

  • Build ultra-low-latency distributed code in modern C++ (20/23), leveraging lock-free designs.
  • Engineer multi-asset feed handlers (NYSE, NASDAQ, B-Pipe, etc.) that stay green.
  • Own the full lifecycle: design to benchmarking to deployment at microsecond granularity.
  • Collaborate with infra to squeeze every last clock cycle from bespoke kernels, FPGA NICs, and bleeding-edge CPUs.

We Should Speak If You Have:

  • Experience writing performance-critical C++ that moves real money (HFT, finance or gaming).
  • Mastery of concurrency, memory models, cache hierarchies, and SIMD.
  • A talent for turning packet captures into elegant, deterministic algorithms.
  • Good educational background.

If your profile is a good fit, I will reach out to you within 12 hours from application.

Low Latency - Senior C++ Engineer - Market Data in London employer: Stanford Black Limited

Join a boutique hedge fund that champions innovation and excellence, where elite engineers collaborate on cutting-edge trading strategies. With a focus on building one of the fastest market-data platforms in the finance industry, you'll enjoy outstanding compensation, a dynamic work culture free from bureaucracy, and unparalleled opportunities for professional growth alongside some of the brightest minds in the field.

Stanford Black Limited

Contact Details:

Stanford Black Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Low Latency - Senior C++ Engineer - Market Data in London

Tip Number 1

Network like a pro! Reach out to current or former employees of the hedge fund on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.

Tip Number 2

Show off your skills! If you’ve got a GitHub or personal project that showcases your C++ prowess, make sure to mention it during interviews. It’s a great way to demonstrate your expertise in low-latency coding.

Tip Number 3

Prepare for technical challenges! Brush up on concurrency, memory models, and cache hierarchies. Practising coding problems related to these topics can help you shine in technical interviews.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!

We think you need these skills to ace Low Latency - Senior C++ Engineer - Market Data in London

C++ (modern C++ 20/23)
Low-Latency Programming
Distributed Systems
Concurrency
Memory Models
Cache Hierarchies
SIMD

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with performance-critical C++ and any relevant projects. We want to see how your skills align with building ultra-low-latency systems, so don’t hold back on showcasing your achievements!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background in high-frequency trading or gaming makes you a perfect fit for our team. Let your passion for coding and finance come through!

Showcase Relevant Projects:If you've worked on any projects that involved concurrency, memory models, or cache hierarchies, make sure to mention them. We love seeing real-world applications of your skills, especially if they relate to market data or low-latency systems.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures it gets into the right hands quickly. Plus, we’ll be able to reach out to you within 12 hours if you’re a good fit!

How to prepare for a job interview at Stanford Black Limited

Know Your C++ Inside Out

Make sure you brush up on your C++ skills, especially the latest standards (C++20/23). Be ready to discuss performance-critical coding techniques, concurrency, and memory management. Practising coding challenges that focus on low-latency scenarios can really help you shine.

Understand the Market Data Landscape

Familiarise yourself with market data feeds like NYSE and NASDAQ, and understand how they operate. Being able to discuss how your work can impact trading strategies will show your potential employer that you’re not just a coder, but someone who understands the business side of things too.

Prepare for Technical Questions

Expect deep technical questions about algorithms, data structures, and system design. Prepare to explain your thought process clearly and concisely. Practising mock interviews with peers or using platforms that simulate technical interviews can be incredibly beneficial.

Showcase Your Problem-Solving Skills

Be ready to tackle real-world problems during the interview. They might present you with a scenario involving latency issues or performance bottlenecks. Think aloud as you work through the problem; this will demonstrate your analytical skills and how you approach complex challenges.