About the position 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. If our mission, values, and purpose align with your own, we would love to hear from you!

Responsibilities

• Partner with key stakeholders on the Central Research Team to support the management of our Research Suite of products.
• Design, maintain, and enhance scalable data pipelines and cloud-based infrastructure that support both research and production workflows, ensuring reliable access to high-quality financial data and analytics.
• Proactively decompose portfolio performance and positioning into factor exposures to assist in risk management and portfolio construction.
• Design, evaluate, and implement alpha models to assist in our stock selection process and refine our portfolio construction methodologies.
• Support recurring analyses, documentation, quality-control processes and project coordination while helping to reduce operational friction.
• Carry out other duties as assigned

Requirements

• Proven ability to build credibility, influence outcomes, and collaborate effectively with diverse stakeholders in a professional environment.
• Advanced programming and data engineering capabilities, with demonstrated experience architecting scalable cloud-based research platforms, data pipelines, and analytical solutions that support both exploratory research and production investment processes.
• Experience working with institutional investment data platforms and point-in-time financial datasets, including Bloomberg, FactSet, S&P Capital IQ/Compustat, or comparable research and market data sources.
• Demonstrated interest in fundamental investing, including financial statement analysis, valuation, and the application of data-driven insights to investment decision-making.

Nice-to-haves

• Advanced degree in Financial Engineering, Statistics, Computer Science, Mathematics, Finance, or a related discipline preferred.
• CFA Charterholder, CFA candidate, or demonstrated interest in fundamental security analysis preferred.
• Exceptional qualitative skills. Ability to explain complex statistical concepts to fundamental investors and a desire for continued partnership to investigate business drivers

Benefits

• Hybrid working and reasonable accommodations
• Generous Holiday policies
• Excellent Health and Wellbeing benefits including corporate membership to Wellhub
• 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
• Unique employee events and programs including a 14er challenge
• Complimentary beverages, snacks and all employee Happy Hours
• Annual discretionary bonus award from the profit pool
• Competitive compensation
• Pension/retirement plans
• Various health, wellbeing and lifestyle benefits