Business Graduate Associate – Data & Analytics

Candidates typically undergo three rounds: a technical assessment focused on SQL and Python, a case‑study round evaluating product and market understanding, and an HR interview to assess cultural fit. The difficulty is moderate, with an emphasis on data interpretation, analytical reasoning, and communication skills. Preparation tips include practicing real‑world data queries, reviewing basic financial market concepts, and articulating product ideas clearly.

Round 1: Technical – SQL & Python coding + data analytics questions → Round 2: Technical – case study on product/market scenario → Round 3: HR – cultural fit & motivation

LSEG fosters a collaborative and inclusive environment where cross‑functional teams work together to solve complex market problems. Employees enjoy a balanced work‑life rhythm with flexible working options and continuous learning opportunities. Growth is encouraged through mentorship, internal mobility, and exposure to global projects.

Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Data Analytics, Business Analytics, Engineering, or related quantitative disciplines. Must have completed studies in 2026 or be a final‑year student expected to graduate before summer 2027. Minimum aggregate of 60% (or equivalent CGPA). No backlogs allowed. Preferred candidates have a combination of Engineering and Finance background and foundational knowledge of SQL, Python, and financial markets.

London Stock Exchange Group (LSEG) is a leading global financial markets infrastructure provider that powers the world’s capital markets. With a history spanning over a century, LSEG offers a suite of data, analytics, and technology solutions that enable market participants to trade, settle, and analyze financial instruments with speed and confidence. The company’s mission is to make financial markets more efficient, transparent and accessible, and it achieves this through a combination of cutting‑edge technology, deep market expertise and a customer‑centric product approach. The Business Graduate Associate – Data & Analytics programme is a 12‑month rotational learning experience designed for recent graduates who are passionate about data, technology and finance. Based at Divyasree Technopolis in Bengaluru, the role immerses you in LSEG’s Data & Analytics division, where you will work on real‑world projects that span data engineering, business intelligence, AI, and product management. You will collaborate with cross‑functional teams, including product managers, data scientists, and market experts, to transform raw data into actionable insights that drive product decisions and customer value. Key responsibilities include: 1. Designing and executing SQL queries to extract and transform data from LSEG’s data warehouses. 2. Developing simple Python scripts for data cleaning, analysis, and visualization. 3. Assisting in the creation of dashboards and reports for internal stakeholders. 4. Participating in product discovery sessions to understand customer pain points. 5. Contributing to AI/ML model prototypes that enhance market data services. 6. Conducting market research to support product roadmap decisions. 7. Collaborating with engineering teams to implement data pipelines. 8. Presenting analytical findings to senior leadership. 9. Supporting the rollout of new data products and features. 10. Continuously learning about financial markets, asset classes, and corporate finance. The tech stack you’ll encounter includes SQL, Python, Tableau/Power BI, and cloud platforms such as AWS or Azure. Throughout the programme, you will gain exposure to product management principles, agile development practices, and financial market fundamentals. Career growth: Graduates who excel are offered permanent roles within LSEG’s Data & Analytics division, with opportunities to progress into senior analyst, product manager, or data science roles. The programme also provides a clear pathway to global assignments and leadership tracks. Why join LSEG? You’ll be part of a global organization that shapes the future of financial markets, work alongside industry experts, and receive mentorship from senior leaders. The blend of technical, analytical, and business challenges ensures a dynamic learning environment that prepares you for a long‑term career in data‑driven finance.