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About the Role
Partner with asset allocation PMs and researchers to take ideas from notebook to production, including signals, CMAs, optimization, portfolio construction, rebalancing rules, and attribution. Build and extend the team's research platform for data ingestion, back testing, scenario analysis, portfolio construction, monitoring, and reporting. Own the multi-asset data layer, ensuring quality control that PMs trust. Utilize AI coding agents daily for prototyping, refactoring, testing, review, and documentation, providing insights on their effectiveness. Develop internal AI-backed tooling for research workflows, client-reporting drafts, commentary support, and meeting preparation. Write production code that is reliable, well-tested, and observable, and mentor teammates on effective AI-augmented engineering practices.
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.
Requirements
- 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.
- 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.
- No supervisory responsibilities.
- Willing to adhere to the provisions of our Investment Advisory Code of Ethics related to personal securities activities and other disclosure and certification requirements, including past political contributions and political activities.
- Applicants’ past political contributions or activity may impact applicants’ eligibility for this position.
- Expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role.
Skills
- AI coding agents
- AI-backed tooling
- Production code
- Reliability
- Testing
- Observability
- Mentoring
- Quantitative models
- Systematic models
- SDLC
- Modern AI tools
- Documentation
- Financial markets
- Excel
- Github
- Version control
- CI/CD
- Cloud services
- Interpersonal skills
- Relationship building
- Customer service skills
- Econometrics
- Statistics
- Asset pricing empirical work
- Financial markets
- Investing
Location
- Hybrid
Work Type
- Hybrid working
Experience Level
- Mentoring
- Leadership development programs
- Regular training
- Career development services
- Continuing education courses
Salary/Compensations
- $110,000 – $125,000
Benefits
- Hybrid working and reasonable accommodations
- Generous Holiday policies
- Paid volunteer time
- Professional development courses
- Tuition/qualification reimbursement
- Maternal/paternal leave benefits and family services
- Complimentary subscription to Headspace
- Corporate membership to ClassPass and other health and well-being benefits
- Unique employee events and programs
- Complimentary beverages, snacks and all employee Happy Hours
- Competitive compensation
- Pension/retirement plans
- Various health, wellbeing and lifestyle benefits
- Annual discretionary bonus opportunity
About the Company
- A career at Janus Henderson is more than a job, it’s about investing in a brighter future together.
- Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service.
- We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right.
- Our Values are key to driving our success, and are at the heart of everything we do: Clients Come First - Always | Execution Supersedes Intention | Together We Win | Diversity Improves Results | Truth Builds Trust
Equal Opportunity
- Janus Henderson Investors is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.
- All applications are subject to background checks.
- Janus Henderson (including its subsidiaries) will not maintain existing or sponsor new industry registrations or licenses where not supported by an employee’s job functions (as determined by Janus Henderson at its sole discretion).
- We believe diversity improves results and we welcome applications from candidates from all backgrounds.
- Don’t worry if you don’t think you tick every box, we still want to hear from you!
- If you need any reasonable accommodations during our recruitment process, please get in touch and let us know at recruiter@janushenderson.com.