Quant jobs / Millennium

Senior Quantitative Developer

A senior C++ role building low-latency execution algorithms and order systems for central trading teams across regions. It mirrors the London execution technology post.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Develop low-latency execution algorithms and order management components
Tune performance with network and systems techniques
Build market data analysis and trade simulation tools
Create automated tests and benchmarking frameworks
Work with traders to meet requirements quickly

What they ask for

Required

Modern C++ (17/20)
Multithreading and async programming
Data structures and algorithms
Low-latency real-time design
Linux internals and networking
Front-office experience
Equities and futures systems

Preferred

Python for research and analysis
LLM-assisted development

Education: Bachelor's in computer science or a related field
Experience: 10+ years of software development, 5+ in front-office finance
Languages and tools: C++
Python
Linux
Markets: equities, futures, multi-asset

How to prepare

Write and benchmark a lock-free ring buffer
Build a limit order book simulator
Study execution algorithms and how they are benchmarked
Practise latency profiling with perf and tracing tools

What to study

The HFT Quant Developer roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Millennium’s site before applying: requirements, location and pay can change after we check them.

View the posting on Millennium’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Millennium and doesn’t handle applications.