Quant jobs / Millennium
Quantitative Developer – Fixed Income RAD
A rapid-application-development team that ships custom analytics and AI tools straight to fixed income portfolio managers, traders and risk. The role mixes data engineering, web front ends and LLM features.
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 ship tools requested by PMs and traders
- Build data pipelines joining internal and market data into dashboards and APIs
- Create React and TypeScript front ends for trading workflows
- Add retrieval-based and agent-style AI features to team apps
- Support and improve apps already in production
What they ask for
Required
- Production Python with the data science stack
- React and TypeScript
- Kubernetes and cloud
- Markets experience in rates, FX, credit or commodities
- AI/LLM tooling for development
- Independent working
- Education
- Bachelor's in computer science or a related field
- Experience
- 5+ years of production development
- Languages and tools
- Markets
- fixed-income, fx, credit, commodities
How to prepare
- Build a dashboard over bond or rates data with a Python API and React front end
- Learn core fixed income quantities such as yield, duration and curves
- Prototype a retrieval-based assistant over a small document set and evaluate it
- Deploy it on Kubernetes with basic monitoring
What to study
- Python for Quantitative Finance
- Fixed Income and Interest-Rate Models
- Quantitative Data Engineering
- Financial Machine Learning
The Rates Quant roadmap sets out the stages for this kind of role, with free resources for each.
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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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