Data & Analytics - Senior Associate

Fitch Group, Inc., Fitch Ratings, Inc., Fitch Solutions Group; Greater London; On-site; GBP 50,000 - 70,000; Full time

Job summary

Fitch Group, Inc. is looking for a Data & Analytics Senior Associate in London. The role involves building AI workflows, contributing to semantic models, and prototyping analytics features utilizing LLM technology. Candidates should possess a degree in Computer Science or a related field and have strong programming skills in Python, along with experience or familiarity with data integration and analytics technologies. Join Fitch to make an impact within a collaborative environment offering diverse opportunities.

Qualifications

• 1-3 years experience in relevant field or substantial end-to-end projects.
• Ability to write readable, testable code and ship working solutions.
• Familiarity with LLM orchestration frameworks is a plus.

Responsibilities

• Help build autonomous and semi-autonomous agent workflows.
• Contribute to semantic models for business users.
• Prototype LLM-enabled features for insights and analytics.

Skills

Strong programming skills in Python

Genuine curiosity about AI and the analytics landscape

Strong communication skills

Ability to work independently

Education

Degree in Computer Science, Data Science, Mathematics, or related discipline

Tools

SQL

REST APIs

Cloud platforms (AWS preferred)

Version control (Git)

Containerisation (Docker)

Job description

Data & Analytics – Senior Associate

Requisition ID: 49864

Business Unit: Fitch Group

Category: Operations

Location: London, GB

Date Posted: Apr 24, 2026

What We Offer:

• High ownership from day one, with clear goals and access to experienced colleagues for targeted support and review (rather than intensive day-to-day training).
• The opportunity to contribute to high-impact analytics and reporting initiatives that support decision‑making across Fitch Group.
• A supportive, collaborative environment with access to experienced colleagues across a global function.
• Exposure to a broad range of stakeholders, data sources, and business questions—with clear progression toward greater ownership.

What You’ll work on (indicative, not exhaustive)

• Agentic AI Workflows – Help build and iterate on autonomous and semi‑autonomous agent workflows that retrieve, reason over, and act on enterprise data (with guidance on architecture and safety).
• Semantic Layers & Ontologies – Contribute to semantic models (metrics, definitions, and metadata) that make it easier for business users to query data consistently.
• LLM‑Powered Analytics – Prototype LLM‑enabled features for summarisation, insight narration, and conversational analytics, and help evaluate what is production‑ready.
• Rapid Prototyping – Turn ideas into working proofs‑of‑concept quickly, learning through iteration and feedback.
• Data Pipeline & Integration Design – Work with the team to connect prototypes to enterprise data sources using modern tooling, with an emphasis on quality, reliability, and security.
• Evaluation & Benchmarking – Help define tests and evaluation criteria (accuracy, latency, cost, and user impact) to support decisions on what to scale.

What You Need to Have:

• A degree in Computer Science, Data Science, Mathematics, or a related discipline (or equivalent practical experience), plus evidence you can deliver in real‑world settings (e.g., 1–3 years experience, internships, or substantial end‑to‑end projects).
• Strong programming skills in Python, with the ability to write readable, testable code and ship working solutions.
• Genuine curiosity about AI, LLMs, and the evolving analytics landscape, evidenced by personal projects, writing, contributions, or experimentation.
• Familiarity with some of: SQL, REST APIs, cloud platforms (AWS preferred), and version control (Git).
• Ability to work independently: you can scope tasks, manage your time, and make pragmatic trade‑offs to deliver value with minimal supervision.
• Strong communication skills, including the ability to explain complex technical concepts to non‑technical stakeholders.

What Would Make You Stand Out:

• Experience with LLM orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel).
• Exposure to semantic layer technologies (e.g., dbt metrics layer, Cube, AtScale) or knowledge graph tooling.
• Familiarity with BI platforms (e.g., Qlik, Power BI, Tableau) and their extensibility models.
• Understanding of vector databases, RAG architectures, and embedding‑based retrieval.
• Experience with containerisation (Docker) and/or CI/CD pipelines.

Why Fitch?

At Fitch Group, the combined power of our global perspectives is what differentiates us. Our global network of colleagues comes together to accomplish things greater than they ever could alone.

Every team member is essential to our business and each perspective is critical to our success. We embrace a diverse culture that encourages a free exchange of ideas, guaranteeing your voice will be heard and your work will have an impact, regardless of seniority.

We are building incredible things at Fitch and we invite you to join us on our journey.

Fitch Group is a global leader in financial information services with operations in more than 30 countries. Wholly owned by the Hearst Corporation, we are comprised of three main businesses: Fitch Ratings | Fitch Solutions | Fitch Learning.

Fitch Group is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.