Quant jobs / Millennium
Developer – Systematic Trading
A developer role in an established 18-person trading team at Millennium, building the applications used for data collection, analytics and trading. The main stack is KDB+/q on Linux.
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.
- Load data from internal and external sources into the team's KDB+ stores
- Build monitors that catch data problems early
- Create APIs so the business can query data
- Develop streaming analytics and real-time monitoring
- Write a testing framework and improve the existing codebase
What they ask for
Required
- Programming fundamentals
- Linux familiarity
- Attention to detail
- Ability to prioritise under pressure
- Communication
- Computer science, maths or similar degree
Preferred
- Q/KDB+
- Education
- Bachelor's or master's in computer science, mathematics or a related area
- Experience
- Not stated; KDB+/q is an advantage
- Languages and tools
How to prepare
- Work through q and KDB+ tutorials on a sample tick dataset
- Build a small data-quality monitor with alerts on gaps and outliers
- Practise Linux shell and Git workflows
- Learn how streaming tick data is handled in real-time systems
What to study
- Quantitative Data Engineering
- Python and Data Primer
- Trading Systems and Low-Latency Infrastructure
- Python for Quantitative Finance
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.
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