Analytics Engineer

Salary: £65,000 - 105,000 per year

Requirements:

• We require a degree in Computer Science, Data Science, Mathematics, or a related discipline, or equivalent practical experience.
• We require evidence that you can deliver in real-world settings, such as 1–3 years of experience, internships, or substantial end-to-end projects.
• We require strong programming skills in Python, with the ability to write readable, testable code and ship working solutions.
• We are looking for genuine curiosity about AI, LLMs, and the evolving analytics landscape, supported by personal projects, writing, contributions, or experimentation.
• We expect familiarity with some of the following: SQL, REST APIs, cloud platforms (AWS preferred), and version control (Git).
• We need the ability to work independently, scope tasks, manage time, and make pragmatic trade-offs to deliver value with minimal supervision.
• We require strong communication skills, including the ability to explain complex technical concepts to non-technical stakeholders.
• Experience with LLM orchestration frameworks would make you stand out.
• Exposure to semantic layer technologies or knowledge graph tooling would make you stand out.
• Familiarity with BI platforms and their extensibility models would make you stand out.
• Understanding of vector databases, RAG architectures, and embedding-based retrieval would make you stand out.
• Experience with containerisation and/or CI/CD pipelines would make you stand out.
• Exposure to data modelling, including dimensional modelling, and/or metadata management would make you stand out.

Responsibilities:

• We will have you help build and iterate on autonomous and semi-autonomous agent workflows that retrieve, reason over, and act on enterprise data.
• We will have you contribute to semantic models, including metrics, definitions, and metadata, that help business users query data consistently.
• We will have you prototype LLM-enabled features for summarisation, insight narration, and conversational analytics, and help evaluate what is production-ready.
• We will have you turn ideas into working proofs-of-concept quickly, learning through iteration and feedback.
• We will have you work with the team to connect prototypes to enterprise data sources using modern tooling, with an emphasis on quality, reliability, and security.
• We will have you help define tests and evaluation criteria, including accuracy, latency, cost, and user impact, to support decisions on what to scale.

Technologies:

• AI
• AWS
• CI/CD
• Cloud
• Embedded
• Git
• Support
• LLM
• Python
• RAG
• REST
• SQL
• Security
• Agentic AI
• Docker
• Network
• Power BI
• Qlik
• Tableau
• dbt

More:

We are the Chief Data Office (CDO) and our Enterprise Data & Analytics team is hiring a Senior Associate for our London office. We support decision-making across Fitch Group through insights, analytics, and data-driven solutions. Our team operates globally, with colleagues in London and New York, and we build capabilities that help business units drive revenue growth, product innovation, productivity gains, and stronger business performance. You will be embedded in a small, high-impact team focused on researching, prototyping, and productionising next-generation analytics capabilities for Fitch Group. We offer high ownership from day one, clear goals, access to experienced colleagues for targeted support and review, and a supportive, collaborative environment with exposure to a broad range of stakeholders, data sources, and business questions. Fitch Group is a global leader in financial information services with operations in more than 30 countries, wholly owned by the Hearst Corporation, and comprises Fitch Ratings, Fitch Solutions, and Fitch Learning. We are committed to equal opportunity and affirmative action, and we value diverse perspectives and the free exchange of ideas.

last updated 34 week of 2026