Overview
The Head of Data Science & AI spearheads Janus Henderson’s data‑driven initiatives, leading the development and execution of a strategy that harnesses data and artificial intelligence across the organization. The role oversees advanced analytics, AI model development, and AI/ML governance, ensuring that AI is applied ethically and effectively to enhance investment research, client experience, and operations while maintaining the firm’s standards of accuracy, transparency, and trust.
Key Responsibilities
- AI Strategy: Define and lead a comprehensive AI strategy aligned with business objectives, continuously refining it based on emerging technologies and evolving needs.
- Model Development & AI Innovation: Lead a team of data scientists and AI engineers to develop predictive models and AI solutions, guiding the model lifecycle from proof‑of‑concept to production and ensuring ongoing value and maintenance.
- AI Governance & Ethics: Establish and enforce an AI governance framework, including model validation, transparency, fairness, and compliance with emerging AI regulations.
- Enablement & Collaboration: Act as a bridge between the Data Science team and other business units, fostering integration of AI solutions into processes and working closely with technology leaders.
- Emerging Technology & Thought Leadership: Monitor industry trends, evaluate new AI techniques, pilot innovations, and advocate for investments that deliver competitive advantage and risk reduction.
Required Qualifications
- Education: Master’s or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field.
- Experience: 10+ years in data science, analytics, or related technology roles, with a minimum of 5 years in leadership or managerial capacity. Experience in financial services, asset management, or capital markets is highly desirable.
- Technical Proficiency: Deep expertise in machine learning techniques, statistical modeling, and large‑dataset analytics; proven track record of model development and deployment.
- Industry Knowledge: Solid understanding of asset‑management products, portfolio management, performance analytics, and client servicing; awareness of how AI is applied in investment management.
- Leadership & Communication: Demonstrated ability to lead multidisciplinary teams, manage complex projects, and convey analytical insights to senior executives.
Preferred Experience
- Direct experience in an asset‑management analytics or quantitative research team.
- Established AI/ML governance processes, including model review committees and monitoring frameworks.
- Familiarity with advanced analytics ecosystems in finance (e.g., quantitative libraries, time‑series databases, visualization tools).
- Published research, patents, or conference presentations in AI or data science related to finance.
Technical Skills
- Programming: Python (pandas, scikit‑learn, TensorFlow/PyTorch), R, SQL, notebooks, Git.
- Machine Learning: regression, classification, clustering, tree‑based models, neural networks; MLOps, model deployment, automated testing.
- Data Platforms: relational databases, NoSQL, time‑series, big‑data frameworks, cloud data services (AWS, Azure, GCP).
- Analytics & BI: Tableau, Power BI, Python/R visualization, statistical analysis tools.
- AI Ethics & Security: bias detection, explainability (LIME, SHAP), data anonymization, encryption.
Soft Skills & Leadership Competencies
- Strategic Vision & Innovation
- Ethical Leadership & Responsible AI advocacy
- Storytelling & Communication for non‑technical audiences
- Collaboration & Influence across organizational boundaries
- Mentorship & Talent Development
- Problem‑Solving & Resilience
Benefits and Working Conditions
- Hybrid working environment with reasonable accommodations
- Generous holiday policy
- Paid volunteer time
- Professional development support (courses, tuition reimbursement)
- Inclusive diversity, equity, and inclusion initiatives
- Family leave benefits
- Well‑being initiatives (Headspace, ClassPass)
- Employee events and wellness perks (complimentary beverages, happy hours)
Janus Henderson 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. Applicants must comply with the firm’s Investment Advisory Code of Ethics and any relevant regulatory obligations.
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