Quant jobs / Millennium

Quantitative Developer/Trader – Systematic Equities

A developer role in a small systematic equity team, building trading and research infrastructure with exposure to live trading. The team notes a possible path into research.

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.

Monitor daily trading across Asia and Europe
Maintain team infrastructure in R, Python and KDB
Speed up and scale the research stack
Run data ETL and gathering
Produce live and historical analytical reports

What they ask for

Required

Python or R on Linux
Shell and command-line tools
Experience with trading systems
Regression and machine learning concepts
Communication
Computer science, engineering or maths-style degree

Preferred

Education: Bachelor's or master's in computer science, engineering, applied maths, statistics or a related STEM field
Experience: 2-4 years of software development in a systematic trading environment
Languages and tools: Python
R
KDB+/q
Markets: equities

How to prepare

Build an ETL job that loads and checks daily equity data
Write a daily trade-monitoring report with exceptions flagged
Learn regression and basic ML evaluation on financial data
Practise Linux shell scripting and basic q/KDB queries

What to study

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.