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London Stock Exchange GroupBangaloreClosed

Business Graduate Associate (Data & Analytics)

Programme

Graduate

Location

Bangalore

Duration

12 months

Deadline

2026-10-10

About the role

This 12-month graduate programme places you in LSEG’s Data & Analytics Division in Bangalore. You will build skills across data, analytics, AI, business intelligence and product management while developing financial markets knowledge and contributing to customer-focused, product-led solutions. Graduates join the organisation on a permanent basis.

Programme experience

  • Build foundational skills for a future career within Data & Analytics.
  • Develop understanding of financial markets, customers and LSEG’s business.
  • Explore how data, analytics and AI inform decisions and improve products.
  • Collaborate across teams to understand problems and develop solutions.
  • Participate in projects, professional development, CSR and volunteering opportunities.
  • Connect with LSEG’s global Early Careers community.

Responsibilities and focus

  • Work at the intersection of data, technology, customers and products.
  • Apply product-led thinking to connect customer needs, data and business outcomes.
  • Use data and information to draw conclusions and solve problems.
  • Develop understanding of data science, data analytics, AI and business intelligence.
  • Build practical knowledge of SQL for querying, filtering and aggregating multi-table datasets.
  • Use introductory Python for data analysis.

Requirements

  • Complete studies in 2026, or finish final-year undergraduate or Master’s requirements before summer 2027.
  • Demonstrate foundational understanding of financial markets, asset classes and corporate finance.
  • Show strong communication, collaboration and strategic thinking skills.
  • Demonstrate adaptability and resilience in a fast-paced environment.
  • Show curiosity about customers and understand problems from a customer perspective.
  • Express interest in product management and product-led ways of working.

Recruitment process

  • Submit an application.
  • Complete the immersive online assessment.
  • Attend a video interview covering strengths, motivation and customer thinking.
  • Participate in an assessment centre involving a range of exercises.