Fitch Group is currently seeking a Staff Data Scientist, Associate Director based out of our London office. Ā
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As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Groupās culture of credibility, independence, and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the worldās top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst.Ā
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Fitch's Technology & Data Team is a dynamic department where innovation meets impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, weāre home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients. We are also proud to be recognized by Built In as a āBest Place to Work in Technologyā 3 years in a row. Whether you're an experienced professional or just starting your career, we offer an exciting and supportive environment where you can grow, innovate, and make a difference.Ā
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Want to learn more about a career in technology and data at Fitch?Ā
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Visit: https://careers.fitch.group/content/Technology-and-Data/Ā
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About the TeamāÆĀ
The AI Implementation Team is dedicated to building and supporting Generative AI, Machine Learning (ML), and Data Science solutions across the Fitch Ratings and Solutions organizations. Our objectives include developing and implementing enterprise-level AI and ML technology, tools, and capabilities in collaboration with business partners and product squads, as well as providing guidance for efficient and secure use of AI.Ā
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How Youāll Make an ImpactĀ
Drive Business Value through AI/ML Solutions:āÆCollaborate with business partners and cross-functional teams to identify high-impact use cases for AI, LLMs, and traditional ML. Design and deliver models that solve evolving business problems and improve internal workflows.Ā
Deliver Data Science Insights:āÆConduct robust statistical analyses and exploratory modeling. Define and build well-structured, AI-ready datasets that support advanced analytics at scale.Ā
Bridge Business & Technical Priorities:āÆAct as a connector across teamsātranslating strategic needs into technical solutions, partnering with product, engineering, and business teams to iterate quickly and deliver results.Ā
Own the End-to-End Model Lifecycle:āÆDevelop, fine-tune, evaluate, and deploy models in production environments. Monitor performance, gather feedback, and adapt solutions to meet changing requirements.Ā
Promote Reusability & Sound Engineering:āÆBuild and maintain production-quality code with strong documentation and testing practices. Emphasize modularity, maintainability, and object-oriented programming for scalable ML solutions.Ā
Communicate Effectively: Translate data science & ML concepts for technical and non-technical stakeholders, focusing on applicability to Fitch use casesĀ
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You May Be a Good Fit if You HaveĀ
6+āÆyearsāÆof professional experience in data science or ML-focused rolesĀ
Expertise in traditional ML (e.g. regression, classification, time series) and modern deep learning ML, LLMs, including fine-tuning, prompt engineering, and evaluationĀ
Hands-on experience working across the full ML lifecycle, from exploratory analysis, experimentation and modeling, to deployment, monitoring, and iterationĀ
Experience building and integrating AI solutions into existing workflows, leveraging and/or finetuning LLMs. (experience building agentic workflows strongly preferred)Ā
Familiarity with containerization tools like Docker, Kubernetes, AWS EKS, etc.Ā
Knowledge of popular cloud computing (AWS and Azure) infrastructure & services e.g., AWS Bedrock, SageMaker, S3; Azure AI Search, OpenAI, blob storage, etc.Ā
An adaptable mindset and strong problem-solving focus with a bias toward practical, business-first AI implementationĀ
Bachelorās degree (masterās or PhD strongly preferred) in a quantitative or technical fieldĀ
What Would Make You Stand OutĀ
Strong software engineering skills, OOP principles, version control, and testingĀ
Exceptional communication skills, with the ability to translate complex modeling and data concepts to varied audiences, including business and technical stakeholdersĀ
Experience supporting prototyping teams to enable seamless transition from prototype to development and deploymentĀ
Experience mentoring other data scientists and fostering a culture of collaboration & learningĀ
Strong interpersonal skills and ability to work proactively as a team playerĀ
Proven ability to work effectively in a distributed team environment and efficiency in fast-paced settingsĀ
Proven ability to collaborate with non-AI/ML teams to integrate AI solutions into broader workflows and projects.Ā
Familiarity with credit ratings agencies, regulations, and data productsĀ
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Why Choose FitchĀ
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Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitchās credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest.Ā Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.
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Fitch is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluateĀ 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.Ā
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