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# Quantitative Developer

- **Company:** Janus Henderson Investors
- **Location:** Denver, CO, United States
- **Salary:** $110,000.0 - $125,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Artificial Intelligence, Continuous Integration, Github, Systems Development Life Cycle, Cloud Services, Backtesting, Data Ingestion, Data Layers, Production Code, Code Restructuring, Software Version Control
- **Published:** August 8, 2026
- **Apply:** https://www.juju.com/job/00000000gm0p4d

## About the Role

+ Have built industrial-scale enterprise-quality quantitative/systematic models based on specs provided by PM's.

 + Have deployed quantitative/systematic models to production at non trivial size. Have monitored operational performance of these models and taken ownership of making sure the models behave properly

 + Are familiar with the SDLC (eg testing/deployment)

 + Are heavy users of modern AI tools (claude code/codex/opencode/pi/ampcode/factory droid/cursor/cline)

 + Have written extensive documentation about the implementation of a model.

Nice to have skills

 + Working knowledge of financial markets preferred

 + Knowledge of Excel preferred

 + Github (or other version control), CI/CD and/or cloud services experience is beneficial

 + Excellent interpersonal, relationship building and customer service skills

 + Strong econometrics and statistics background, experience in asset pricing empirical work

 + Passionate about financial markets with a curiosity about investing

## Description

+ Build and extend the team's research platform: data ingestion, back testing, scenario analysis, portfolio construction, monitoring, and reporting.

 + Own the multi-asset data layer: market data, macro, fundamentals, fund and index data, internal holdings, with quality control the PMs actually trust.

 + Use AI coding agents daily for prototyping, refactoring, testing, review, and documentation. Bring opinions on where they help and where they hurt.

 + Build internal AI-backed tooling for the team where it earns its keep: research workflows, client-reporting drafts, commentary support, meeting prep.

 + Write production code that other quants want to build on. Own reliability, testing, and observability for what you ship.

 + Mentor teammates on effective AI-augmented engineering practice.

 + Carry out other duties as assigned


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