ACCOUNTS AND FINANCE

Company Name:LONDON STOCK EXCHANGE GROUP

Job Title:BUSINESS GRADUATE ASSOCIATE

Expiry On:10-10-2026

Job Description:

London Stock Exchange Group (LSEG) is hiring Business Graduate Associate (Data & Analytics)

Location: IND-BLR-Divyasree Technopolis, Bangalore

Type: Full time

Career stage: Associate

Batch: 2026/2027

What you'll experience (12-month Graduate Programme):

• Build foundational skills for your future career within Data & Analytics
• Develop your understanding of financial markets, customers and the 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 the global Early Careers community
• Graduates join on a permanent basis, aligned to Data & Analytics from day one

Skills Required:

• Interest in product management and product-led ways of working
• Curiosity about customers and ability to understand problems from a customer perspective
• Interest in Data Science, Data Analytics, AI or Business Intelligence
• Ability to use data and information to draw conclusions and solve problems
• Strong communication, collaboration and strategic thinking skills
• Interest in financial markets and how technology and data are shaping the industry
• Adaptability and resilience in a fast-paced environment
• Particularly welcomes candidates from Data Science, AI, Data Analytics, Business Analytics, Computer Science or related quantitative disciplines — technical background preferred but not essential if strong interest and capability in data and product-led thinking is shown
• 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 in Python for data analysis

Eligibility:

• Completed studies in 2026, or final-year undergraduate/Master's student completing all course requirements before summer 2027
• Preferable combination of Engineering + Finance background

How to Apply:

To Apply: Click Here

Apply by: October 10, 2026 

Recruitment Process:

1. Application submission
2. Immersive Online Assessment
3. Video Interview - exploring strengths, motivation, customer thinking and interest in product-led ways of working
4. Assessment Centre - a range of exercises

Note: Applications are reviewed on a rolling basis and may close early. Submit only one application.