Trading Data & AI Analyst

LGBT Great; Greater London; Hybrid; GBP 60,000 - 80,000; Full time

Benefits offered by this job

Generous Holiday policies

Excellent Health and Wellbeing benefits

Paid volunteer time

Tuition reimbursement

Complimentary subscription to Headspace

Lunch allowance

Job summary

Janus Henderson in the United Kingdom is looking for an AI specialist to join the EMEA Equity Trading team. This role emphasizes building tools for automation, analysing trading data, and improving current processes. Candidates should have strong Python skills, AI proficiency, and a background in technical or quantitative disciplines.

The company offers a hybrid working model, excellent health benefits, and generous vacation policies. Join a team that's committed to supporting your growth and embracing innovation in financial services.

Qualifications

• 2-3+ years in a technical, data or analytics environment.
• Strong communication skills and fluency with numbers in a trading context.
• Curiosity and initiative toward AI projects.

Responsibilities

• Own the AI and automation agenda for the team.
• Work directly with Traders and Portfolio Managers.
• Analyse trading datasets using Python and AI tooling.

Skills

Python and AI-assisted development

AI proficiency

Numerically sharp

Delivery mindset

Stakeholder communication

Education

Degree in a technical or quantitative discipline

Tools

GitHub Copilot

Snowflake

Job description

Overview

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

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. If you are the kind of person who builds things before being asked, picks up new tools fast and is not satisfied with how things were done yesterday, this is worth reading on.

Responsibilities

• Own the AI and automation agenda for the team. Identify where AI tooling can replace manual processes, design the solution and build it. This is not a role where you execute someone else\'s backlog; you are expected to bring ideas, test them quickly and ship what works.
• Work directly with Traders and Portfolio Managers to understand data consumption, pain points, and workflow changes. Deliverables must be clear, well designed, and grounded in how the desk operates.
• Analyse trading datasets using Python and AI tooling to surface trends, inefficiencies and opportunities. You will encounter execution analytics, Transaction Cost Analysis, Algo Wheel configuration, market microstructure and European regulatory requirements. Comfortable with complex, domain-specific data and rapid learning is required.
• 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. Run demos, share practical examples, explain what works and why. Bring the desk along so the team\'s capability rises, as well as your own.
• 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. No specific degree subject is required; capability and aptitude matter more than the title on the certificate.
• Python and AI-assisted development. You will write code with AI, not without it. Comfortable working with agents and AI coding tools (GitHub Copilot, Claude Code or similar) to build, debug and iterate. Engineering judgement to ensure what you produce is safe, reliable and fit for production use.
• AI proficiency. Prompt engineering, LLM-assisted analysis, agentic workflows, tool orchestration. You should be the person your peers come to when they want to know what is possible.
• Numerically sharp. Comfortable working with large, complex datasets and spotting when outputs do not make sense. Strong communication skills and fluency with numbers in a trading context.
• Delivery mindset. Builds things that work and last, whether handed to a technology team to productionise or owned and maintained on the desk.
• Stakeholder communication. Ability to explain technical trade-offs clearly to non-technical audiences.
• 2-3+ years in a technical, data or analytics environment. Financial services exposure is a plus, not a prerequisite.

Nice to have skills

• Demonstrated personal interest in AI beyond the workplace. Curiosity and initiative toward AI projects are valued and may be explored during the interview process.
• Financial knowledge. Exposure to equity markets, trading, execution analytics, algorithmic trading or market microstructure. Interest in developing this knowledge (e.g. CFA study) is valued.
• SQL and data platforms. Experience in querying structured data, ideally with Snowflake or similar cloud data warehouses.
• Data visualisation and design. Experience with dashboarding tools (e.g. Streamlit, Power BI or similar).
• Platform-level automation. Experience with low-code/no-code platforms, LLM observability tools, or managed model APIs.
• Modern development practices. Familiarity with Docker, Terraform, CI/CD pipelines, Git.
• Agent orchestration frameworks. Experience with LangChain, Semantic Kernel, AutoGen or similar is a plus.

Supervisory responsibilities

• No

Potential for growth

• Mentoring
• Leadership development programs
• Regular training
• Career development services
• Continuing education courses

Regulatory and commitment statements: 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 and inclusion

• Hybrid working and reasonable accommodations
• Generous Holiday policies
• Excellent Health and Wellbeing benefits including corporate membership to ClassPass
• 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
• Complimentary subscription to Headspace – the mindfulness app
• All employee events including networking opportunities and social activities
• Lunch allowance for use within our subsidized onsite canteen

Equal Opportunity: 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. All applications are subject to background checks.