FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions.
At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations.
Senior Software Engineer – DataPilot – Data Solutions
Join the DataPilot team at FactSet, where our mission is to transform our users’ natural language queries into actionable insights using our generative AI platform. At the core of the DataPilot infrastructure is a knowledge graph that connects financial concepts to the data available in FactSet. Engineers on the team maintain and enhance a GenAI-powered software stack that operates at the intersection of financial data, knowledge management, and data engineering.
The team: 3 software engineers - We are going to hire 2 new persons
Technical stack: Python, SQL, AWS, Terraform, SQL, CI/CD, GenAI, RAG
You will work on a team in a fast-paced environment, with the opportunity to influence the product's design and architecture. An ideal candidate for the role would be an individual who has experience or a strong interest in working with generative AI and related technologies, utilising open-source composable data frameworks, an interest in knowledge graph and semantic web technologies, and a passion for understanding and iterating on user workflows.
The day-to-day role of an engineer on the DataPilot team is to:
Enhance the knowledge graph model to improve answer quality on complex queries.
Integrate additional datasets into DataPilot based on user workflow needs.
Design, implement, and deploy DataPilot services and infrastructure.
Monitor and enhance the accuracy, performance, and observability of our GenAI RAG stack.
Evaluate new large language models, tools, and AI engineering techniques
Improve query planning, optimisation, and evaluation infrastructure.
Partner and collaborate with product development leads to identify technical requirements for future product enhancements.
Required Skills
4+ years of experience with Python
1+ year of experience on projects including GenAI, RAG systems, MCP and or agentic AI
Familiarity with relational databases and data modelling techniques (SQL).
Familiarity with API design and working in distributed systems
Additional/Desired Skills
CI/CD pipelines
Machine Learning
Education
Bachelor’s degree in computer science, computer engineering, or a similar technical field or equivalent practical experience.
Company Overview:
FactSet (NYSE:FDS | NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn.
At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.
Top Skills
Factset London, England Office
One Snowden Street, , London, United Kingdom, EC2A 2DQ,
