Trading Data & AI Analyst

Your opportunity

You are looking for someone deep into AI to join our EMEA Equity Trading team.

This is a technical role, not a trading role.

You will learn the domain from experienced traders, but you need genuine AI and data capability from day one.

You will be responsible for

• Own the AI and automation agenda for the team, identifying where AI tooling can replace manual processes, designing solutions and building them.
• 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 across execution analytics, transaction cost analysis, algo wheel configuration, market microstructure, and European regulatory requirements.
• Modernize the desk's day‑to‑day outputs, making them automated, visually sharp and readable.
• Help the wider team build confidence with AI tooling by running demos and sharing practical examples.
• Contribute to the firm's wider AI community across the organization.
• What to expect when you join our firm
• Hybrid working and reasonable accommodations.
• Excellent health and wellbeing benefits, including corporate Class Pass membership.
• Paid volunteer time.
• Professional development courses and tuition reimbursement.
• Maternal and paternal leave benefits.
• Complimentary Headspace subscription.
• All employee events, networking, and social activities.
• Lunch allowance within the subsidized onsite canteen.
• Must have skills
• A degree in a technical or quantitative discipline, or equivalent professional experience.
• Python and AI‑assisted development, comfortable building, debugging, and iterating with AI coding tools.
• AI proficiency: prompt engineering, LLM‑assisted analysis, agentic workflows, and tool orchestration.
• Numerically sharp, comfortable handling large complex datasets and spotting anomalous outputs.
• Delivery mindset: builds things that work and last, whether moved to tech team for production or maintained on the desk.
• Stakeholder communication: explains technical trade‑offs clearly to non‑technical audiences.
• 2‑3+ years in a technical, data or analytics environment; financial services exposure is a plus.
• Nice to have skills
• Personal interest in AI beyond the workplace, shown through side projects or experimentation.
• Financial knowledge: equity markets, trading, execution analytics, algorithmic trading or market microstructure.
• SQL and data platforms, ideally Snowflake or similar warehouses.
• Data visualisation and design experience (Streamlit, Power BI, etc.).
• Platform‑level automation experience with low‑code/no‑code platforms, LLM observability tools, or managed model APIs.
• Modern development practices (Docker, Terraform, CI/CD, Git).
• Agent orchestration frameworks (Lang Chain, Semantic Kernel, Auto Gen) experience.
• Supervisory responsibilities
• No
• Potential for growth
• Regular training.
• Continuing education courses.

Benefits

Annual Bonus Opportunity

Position may be eligible to receive an annual discretionary bonus award from the profit pool.

Benefits

Competitive compensation, pension/retirement plans, health, wellbeing and lifestyle benefits.

Compliance and policy expectations

You will be expected to understand the regulatory obligations of the firm and abide by the regulated entity requirements and JHI policies applicable to your role.

You must also adhere to the provisions of our Investment Advisory Code of Ethics related to personal securities activities and disclosure requirements, including past political contributions and activities.

EEO Statement

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.

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