Quant jobs / Millennium

Quantitative Developer – Quantitative Strategies

A developer role in an existing quantitative trading pod owning the research platform, data systems and signal deployment. It works closely with the senior portfolio manager and researchers.

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.

Run the backtesting framework, simulators and compute layers
Build tools so researchers can test and deploy signals easily
Maintain large datasets and data pipelines
Connect to execution, risk and resource management systems
Productionise and monitor trading signals
Try agentic AI workflows where they help

What they ask for

Required

Production-quality Python
Parallel and distributed performance work
Kubernetes, Ray, Dask, Polars or Slurm
SQL
Strong Linux
System design and data architecture
3+ years as a quant developer or data engineer

Preferred

Snowflake or modern warehouses

Education: Not stated
Experience: 3+ years as a quantitative developer, research engineer or software/data engineer
Languages and tools: Python
SQL
Kubernetes

How to prepare

Build an event-driven backtester with cached datasets
Parallelise a parameter sweep with Ray or Dask
Add monitoring that flags a live signal drifting
Learn how researchers move a signal from notebook to production

What to study

The Quantitative Researcher 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.