Quant jobs / Millennium

Quantitative Developer

A C++ engineering role on the backend services behind Millennium's real-time risk and P&L platform for fixed income and credit. It focuses on latency, reliability and production operations.

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.

Build and run C++ services computing pricing, risk and P&L
Profile and tune performance, memory use and cache behaviour
Integrate services through Kafka and Protobuf
Handle monitoring, incidents and root cause analysis
Contribute to CI/CD and regression testing

What they ask for

Required

Up to 5 years of C++ service development
Modern C++17/20
Multithreading and concurrency
Long-running backend services
Kafka or similar messaging
Linux, profilers and debuggers

Preferred

Event-driven patterns
Docker and Kubernetes
Pricing or risk systems exposure

Education: Bachelor's in computer science, software engineering or related; advanced qualifications a plus
Experience: Up to 5 years of C++ service or systems development
Languages and tools: C++
Linux
Markets: fixed-income, credit

How to prepare

Write a thread-safe C++ service and profile it with perf or Valgrind
Practise lock-free structures and atomics
Learn how bond and credit risk are calculated
Build a small Kafka-fed pricing service

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.