At a Glance
- Tasks: Lead data-driven initiatives and develop AI strategies to enhance investment research and client experience.
- Company: Join Janus Henderson, a leader in asset management with a focus on innovation.
- Benefits: Enjoy hybrid work, generous holidays, professional development support, and wellness initiatives.
- Other info: Be part of a diverse team committed to ethical AI and continuous learning.
- Why this job: Make a real impact by driving AI innovation in the financial services industry.
- Qualifications: Master’s or Ph.D. in a quantitative field with 10+ years of relevant experience.
The predicted salary is between 100000 - 150000 € per year.
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.
Head of Data Science & AI in London employer: Janus Henderson Global Investors
Janus Henderson is an exceptional employer, offering a dynamic and inclusive work culture that prioritises professional growth and innovation in the field of data science and AI. With a hybrid working environment, generous holiday policies, and robust support for professional development, employees are empowered to thrive while contributing to cutting-edge initiatives that enhance investment research and client experiences. The company's commitment to ethical AI practices and employee well-being makes it a rewarding place to build a meaningful career.
Contact Detail:
Janus Henderson Global Investors Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Science & AI in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science and AI fields. Attend industry events or webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and data science. Use platforms like GitHub to share your code and demonstrate your expertise. This can really set you apart from other candidates.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders. Mock interviews can help you nail this!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Tailor your application to highlight how your experience aligns with our mission at StudySmarter, and let’s get you on board!
We think you need these skills to ace Head of Data Science & AI in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Head of Data Science & AI role. Highlight your leadership experience and technical expertise in AI and data science, as these are key to catching our eye!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how your vision aligns with our goals at Janus Henderson. Be specific about your achievements and how they relate to the responsibilities outlined in the job description.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to lead model development and innovation. We love seeing real-world applications of your skills!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and ensure it gets into the right hands!
How to prepare for a job interview at Janus Henderson Global Investors
✨Know Your AI Strategy
Before the interview, make sure you understand the company's current AI strategy and how it aligns with their business objectives. Be ready to discuss how your experience can contribute to refining and executing this strategy.
✨Showcase Your Leadership Skills
Prepare examples that highlight your leadership experience in data science and AI. Discuss how you've successfully led teams, managed complex projects, and fostered collaboration across different business units.
✨Demonstrate Technical Proficiency
Brush up on your technical skills, especially in machine learning techniques and programming languages like Python and R. Be prepared to discuss specific projects where you've developed predictive models or AI solutions.
✨Emphasise Ethical AI Practices
Given the importance of AI governance and ethics in this role, be ready to talk about your approach to ensuring fairness, transparency, and compliance in AI applications. Share any experiences you have with establishing governance frameworks.
