Quantitative AI Engineer - Portfolio Systems

LGBT Great; Greater London; Hybrid; GBP 83,000 - 94,000; Full time

Benefits offered by this job

Hybrid working

Generous holiday policy

Volunteer time off

Professional development and tuition/�

Headspace subscription

ClassPass membership

Job summary

Janus Henderson Investors is seeking a quantitative engineer to collaborate with asset allocation PMs and researchers to turn ideas into production signals, CMAs, and portfolio construction rules.

You will own the data layer, build AI-backed tooling, and ensure reliability through testing and observability, while mentoring teammates in AI-augmented engineering practices.

Hybrid work model and strong benefits are offered, with a focus on growth and professional development.

Qualifications

• Industrial-scale enterprise quantitative models built per PM specs.
• Deployed models to production at non-trivial size and monitored performance.
• Familiar with SDLC including testing and deployment.
• Heavy users of modern AI tools.
• Wrote extensive documentation for model implementation.

Responsibilities

• 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

Skills

Quantitative models

Production deployment

SDLC familiarity

AI tools

Documentation

Tools

Github

CI/CD

Cloud services

Job description

Janus Henderson Investors is seeking a quantitative engineer to collaborate with asset allocation PMs and researchers to turn ideas into production signals, CMAs, and portfolio construction rules.

You will own the data layer, build AI-backed tooling, and ensure reliability through testing and observability, while mentoring teammates in AI-augmented engineering practices.

Hybrid work model and strong benefits are offered, with a focus on growth and professional development.