About Company

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Role Overview

Join our Data & Analytics Division and help shape how data, technology and insight are turned into products and solutions that create value for our customers.

As we continue to embrace a product-led approach, we are looking for graduates who are curious about customers, data and technology and interested in understanding how these come together to solve problems and deliver meaningful outcomes.

From day one, you’ll work in a fast-paced, collaborative environment, developing your understanding of financial markets while building skills across data, analytics, AI, business intelligence and product management.

What you’ll experience

During the 12-month Graduate Programme, you will:

• Build foundational skills for your future career within Data & Analytics.
• Develop your understanding of financial markets, customers and our business.
• Learn how a product-led mindset connects customer needs, data and business outcomes.
• Explore how data, analytics and AI can inform decisions and improve products and experiences.
• Collaborate with colleagues across different teams to understand problems and develop solutions.
• Participate in projects, professional development, CSR and volunteering opportunities.
• Connect with our global Early Careers community.

Our graduates join on a permanent basis and will be aligned to Data & Analytics from day one.

Build AI Agents with Claude — FOR FREE

What we’re looking for

We’re looking for curious, analytical and collaborative individuals who are excited by the opportunity to work at the intersection of data, technology, customers and products.

You’ll stand out if you can demonstrate:

• An interest in product management and product-led ways of working.
• Curiosity about customers and the ability to understand problems from a customer perspective.
• An interest in Data Science, Data Analytics, AI or Business Intelligence.
• The ability to use data and information to draw conclusions and solve problems.
• Strong communication, collaboration and strategic thinking skills.
• An interest in financial markets and how technology and data are shaping the industry.
• Adaptability and resilience in a fast-paced environment.

We particularly welcome candidates from Data Science, Artificial Intelligence, Data Analytics, Business Analytics, Computer Science or related quantitative disciplines. While technical backgrounds are preferred, they are not essential where you can demonstrate strong interest and capability in data and product-led thinking.

Foundational understanding of financial markets, asset classes, and corporate finance.

Practical working knowledge of SQL for querying, filtering, and aggregating multi- table datasets.  Introductory proficiency Python for data analysis.

Eligibility

You must have completed your studies in 2026, or be a final-year undergraduate or Master’s student who will complete all course requirements before summer 2027.
Preferrable combination of Engineering + Finance background

Recruitment Process

Our recruitment process includes:

• Application submission
• Immersive Online Assessment
• Video Interview, exploring your strengths, motivation, customer thinking and interest in product-led ways of working
• Assessment Centre, involving a range of exercises

We are interested not only in what you achieve, but how you achieve it, including how you understand customer needs, use data and evidence, collaborate with others and approach problems.

Applications are reviewed on a rolling basis and may close early, so we encourage you to apply as soon as possible.

Please review our Graduate Programme opportunities and submit one application only.

Apply for LSEG Business Graduate Associate (Data & Analytics) For Freshers