At a Glance
- Tasks: Analyse trading data, automate outputs, and build AI tools for the EMEA Equity Trading team.
- Company: Janus Henderson focuses on superior financial outcomes through disciplined investments and world-class service.
- Benefits: Enjoy hybrid working, generous holiday policies, and excellent health and wellbeing benefits.
- Other info: No supervisory responsibilities; potential for growth through mentoring and leadership development programs.
- Why this job: Join a leading equity trading team and drive AI innovation in financial services.
- Qualifications: Requires a degree in a technical discipline and 2-3+ years in a data or analytics environment.
The predicted salary is between 60000 - 75000 £ per year.
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. 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!
We are looking for someone who is already deep into AI, not just familiar with it, to join our EMEA Equity Trading team. You will analyse trading data, automate desk outputs and build tools that seek to improve our processes. This is a technical role, not a trading role: you will learn the domain from one of the most experienced equity trading teams in the industry, but you need to arrive with genuine AI and data capability from day one.
Responsibilities:
- Own the AI and automation agenda for the team.
- Identify where AI tooling can replace manual processes, design the solution and build it.
- Work directly with Traders and Portfolio Managers to understand data consumption, pain points, and workflow changes.
- Analyse trading datasets using Python and AI tooling to surface trends, inefficiencies and opportunities.
- Modernise the desk's outputs from a consumable content standpoint so they are automated, visually sharp and readable.
- Help the wider team build confidence with AI tooling.
- Contribute to the firm’s wider community of AI practitioners, sharing what works and evolving best practices for AI adoption across the organisation.
Must have skills:
- A degree in a technical or quantitative discipline, or equivalent professional experience.
- Python and AI-assisted development.
- Comfortable working with agents and AI coding tools (GitHub Copilot, Claude Code or similar).
- AI proficiency.
- Numerically sharp.
- Strong communication skills and fluency with numbers in a trading context.
- 2-3+ years in a technical, data or analytics environment.
Nice to have skills:
- Demonstrated personal interest in AI beyond the workplace.
- Financial knowledge.
- SQL and data platforms.
- Data visualisation and design.
- Platform-level automation.
- Modern development practices.
Potential for growth includes mentoring, leadership development programs, regular training, and career development services.
You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role.
Benefits include hybrid working, generous holiday policies, excellent health and wellbeing benefits, paid volunteer time, support for professional development, and more.
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.
Trading Data & AI Analyst employer: LGBT Great
Located in a dynamic financial hub, Janus Henderson offers generous health benefits, including corporate ClassPass membership. The firm values diversity and encourages professional development through tuition reimbursement and training opportunities.