Quant jobs / Millennium

Senior Quantitative Developer (C++) – Execution Technology

A senior C++ role building low-latency execution algorithms and order systems for the central trading teams of a multi-manager fund. It also covers simulation and market data analysis tools.

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 and maintain low-latency execution algorithms and order management components
Cut latency through network and systems-level tuning
Build historical data and simulation tools for testing
Create benchmarking and test frameworks
Gather requirements from trading teams and deliver quickly

What they ask for

Required

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

Preferred

Python for research and performance 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 a lock-free queue and benchmark its latency
Build a simple order book and matching simulator in C++
Study execution algorithm designs such as VWAP and POV
Learn network latency measurement and kernel tuning on Linux

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.