Quant jobs / Millennium

Options Quantitative Developer

A Python-heavy developer role supporting an options trading team in Asia during Hong Kong working hours. It focuses on keeping daily data jobs and intraday trading processes running.

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.

Fix scheduled jobs that fail when incoming data arrives late
Debug processes on Unix servers that support intraday trading
Maintain and extend a mostly Python codebase
Set up foundational code for new projects
Support trader-facing GUIs and tools

What they ask for

Required

Python
Airflow or similar job schedulers
Unix environment
2+ years in finance or quant development
Debugging production data pipelines

Preferred

Options trading experience
Flask, HTML and JavaScript for trading GUIs
C++ for streaming market data
Rust

Education: No degree level stated
Experience: At least 2 years in a finance or quantitative development role
Languages and tools: Python
C++
Rust
JavaScript
Markets: options

How to prepare

Build an Airflow DAG that loads market data and handles late or missing files
Practise Unix debugging: logs, processes, cron and ssh
Learn options basics: Greeks, implied volatility and the data a desk needs
Write a small Flask app that shows live option quotes in a grid

What to study

The Volatility Quant 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.