Why work for us?
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!
Your opportunity
The Head of Data Science & AI spearheads the asset management firm’s data-driven initiatives, responsible for developing and executing a strategy to harness data and artificial intelligence across the organization. This role oversees advanced analytics, AI model development, and the governance of AI/ML usage. In an industry where data is a critical asset, the Head ensures that the firm leverages AI ethically and effectively to gain insights--improving investment research, enhancing client experiences, and optimizing operations. They establish frameworks for AI innovation, governance, and collaboration, recognizing that instilling ethical AI frameworks and a strong leadership vision is critical in investment management. This individual combines deep technical expertise in AI and data science, with leadership and industry knowledge to transform data into a competitive advantage, while upholding the strict standards of accuracy, transparency, and client trust expected in asset management..
Key Responsibilities
- AI Strategy: Define and lead a comprehensive AI strategy for Janus Henderson. Develop a vision for how data science, machine learning, and AI can support key business objectives--from investment decision support and risk management to client analytics and efficiency improvements. Continuously refine this strategy based on emerging technologies and business needs.
- Model Development & AI Innovation: Lead a team of data scientists and AI engineers in developing predictive models and AI solutions. Identify high-impact use cases for AI at Janus Henderson--such as quantitative models for investment research, algorithms for detecting compliance anomalies, predictive analytics for client behavior, or process automation with AI. Guide the team through the model development life cycle (from POC to deployment), ensuring models are delivering business value and are well-maintained.
- AI Governance & Ethics: Establish an AI governance framework to ensure the responsible use of AI. This includes setting standards for model validation, transparency, and fairness, and ensuring compliance with emerging AI regulations. Provide oversight so that AI-driven decisions align with fiduciary responsibilities and ethical standards (e.g., avoiding biased outcomes or misuse of data). Senior leadership has set a strategic vision and ethical culture for AI development, and this role is the key driver of that mandate--implementing guidelines, model risk management processes, and auditability for AI systems.
- Enablement & Collaboration: Encourage collaboration between the Data Science team and other units (IT, Investment, Client Groups, Risk & Compliance, Operations, etc.), acting as a bridge to integrate AI solutions into business processes. This includes working closely with the Value Stream Technology Heads to embed analytics in their domains (for instance, integrating AI models into a CRM or using analytics to improve internal processes).
- Emerging Technology & Thought Leadership: Keep the firm at the forefront of technological advances in AI and data science. Monitor industry trends (like new AI techniques, fintech innovations, or regulatory changes around AI) and evaluate their applicability to the firm. Lead innovation initiatives or pilot programs and assess ROI. Advocate for investments in data science capabilities where they can yield competitive advantage, as proactive AI governance and innovation can provide significant advantages and risk reduction.
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
- All-inclusive approach to Diversity, Equity and Inclusion
- 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
- Education: Master’s or Ph.D. in Computer Scie