Production-Ready Quantitative Developer (AI-Driven)

Janus Henderson Group; Greater London; Hybrid; GBP 75,000 - 120,000; Full time

Benefits offered by this job

Health benefits

ClassPass membership

Volunteer time

Tuition reimbursement

Professional development

Job summary

Janus Henderson Group is seeking a quant-focused engineer to join our Hybrid team in London, collaborating with asset allocation PMs and researchers to push ideas from notebooks to production. You will build and extend a scalable research platform, manage the multi-asset data layer, and leverage AI tools for prototyping, testing, and documentation.

The role requires deep quantitative modeling experience, SDLC familiarity, and strong communication.

Qualifications

• Built enterprise-scale quantitative models based on PM specs.
• Deployed models to production with monitoring.
• Familiar with SDLC including testing and deployment.
• Heavy user of modern AI tools for prototyping and refactoring.
• Written extensive documentation of model implementations.

Responsibilities

• Partner with asset allocation PMs and researchers to move ideas from notebook to production (signals, CMAs, portfolio construction, rebalancing rules).
• Build and extend the research platform (data ingestion, backtesting, scenario analysis, monitoring, reporting).
• Own the multi-asset data layer (market data, fundamentals, holdings) with PMs trusting quality.
• Use AI coding agents daily for prototyping, testing, and documentation.
• Build AI-backed tooling for research workflows and client reporting.
• Write production code with a focus on reliability, testing, and observability.
• Mentor teammates on AI-augmented engineering practices.

Skills

Quantitative modeling

Model deployment

SDLC familiarity

AI tools usage

Documentation

Financial markets knowledge

Excel proficiency

Version control/CI-CD/Cloud

Interpersonal skills

Econometrics/Statistics

Investing curiosity

Tools

GitHub

CI/CD

Cloud services

Job description

Janus Henderson Group is seeking a quant-focused engineer to join our Hybrid team in London, collaborating with asset allocation PMs and researchers to push ideas from notebooks to production. You will build and extend a scalable research platform, manage the multi-asset data layer, and leverage AI tools for prototyping, testing, and documentation.

The role requires deep quantitative modeling experience, SDLC familiarity, and strong communication.