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# Quantitative Developer

- **Company:** Janus Henderson
- **Location:** London, UK
- **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, AI Coding Agents, Data Layers, Production Code, Code Restructuring, Software Version Control
- **Published:** October 14, 2026
- **Apply:** https://dejobs.org/x/x/DC0ADCC8DD244EE8A7151490DDD2C05F/job/

## About the Role

* 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
Supervisory responsibilities

 * No
Potential for growth

 * Mentoring
 * Leadership development programs
 * Regular training
 * Career development services
 * Continuing education courses

## Description

* Partner with asset allocation PMs and researchers to take ideas from notebook to production: signals, CMAs, optimization, portfolio construction, rebalancing rules, and attribution.
 * 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
What to expect when you join our firm

 * Hybrid working and reasonable accommodations
 * Generous Holiday policies
 * Paid volunteer time to step away from your desk and into the community
 * Support to grow through professional development courses, tuition/qualification reimbursement and more
 * Maternal/paternal leave benefits and family services
 * Complimentary subscription to Headspace - the mindfulness app
 * Corporate membership to ClassPass and other health and well-being benefits
 * Unique employee events and programs including a 14er challenge
 * Complimentary beverages, snacks and all employee Happy Hours
Must have skills

 * 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