Quant jobs / Millennium

Python Software Engineer – Intraday Trading

A front-office Python engineering role on a platform for backtests, simulated books and intraday risk and factor analytics. It supports portfolio managers across the firm.

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.

Prototype and build real-time analytics and market data services
Extend the portfolio management platform with business users
Support intraday risk and analytics systems
Work on scalable event-driven compute

What they ask for

Required

5+ years Python application development
Linux
Grid scheduling such as SLURM
Event-driven design with Kafka, Solace, Redis
Advanced SQL, NoSQL and time-series databases
AI RAG and agent building
Monitoring tools (Datadog, ELK)
Data structures and algorithms

Preferred

Real-time portfolio analytics
Docker and Kubernetes
Multi-threaded C++

Education: Not stated
Experience: 5+ years of Python application development
Languages and tools: Python
SQL
kdb+/q
C++
Markets: equities

How to prepare

Build a Kafka-based service computing live portfolio exposures
Learn kdb+/q basics for time-series queries
Study factor risk and what a PM expects from intraday analytics
Add observability to a streaming Python app

What to study

The Portfolio and Factor 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.