LSEG Business Graduate Associate — Data & Analytics opportunity
London Stock Exchange Group (LSEG) has advertised a Business Graduate Associate (Data & Analytics) opening under requisition R0123974. The listed location is Bengaluru’s Divyasree Technopolis. This is a permanent-hire opportunity with a 12-month graduate programme, not an internship. Applicants should review its specific study-completion criteria and the rule permitting only one application across LSEG Graduate Programme opportunities.
The official application deadline reviewed is 10 October 2026, and LSEG notes that the role may close early. Candidates interested in data, analytics, AI and the application of those areas to financial markets should check the live listing promptly. The official description reviewed does not disclose salary or explicitly state a remote, hybrid or in-office work arrangement.
Key details
| Organisation | LSEG |
|---|---|
| Role | Business Graduate Associate (Data & Analytics) |
| Requisition | R0123974 |
| Location | Bengaluru, Divyasree Technopolis |
| Employment arrangement | Permanent employee; 12-month graduate programme |
| Study completion | Completed studies in 2026, or final-year UG/Master’s completing all course requirements before summer 2027 |
| Salary | Not disclosed in the official listing reviewed |
| Work mode | Not explicitly stated; do not assume remote or office-only |
| Apply by | 10 October 2026; may close earlier |
The 12-month programme describes the graduate-development structure, not a claim that employment is limited to a one-year internship. The employer’s permanent-employee wording is important when comparing this opening with the internship options in the same Jobsii batch.
What the programme focuses on
The official description connects data and analytics with AI, business intelligence, product thinking and customer needs. It includes cross-functional projects and early-career development, with community or CSR-related volunteering also mentioned. Applicants should read the complete description to understand how those areas fit the programme rather than assume a fixed team rotation or a particular technical project.
The work is relevant to candidates interested in how data supports financial-market products and business decisions. Technical understanding matters, but so does communicating insights and considering the user or customer need. These are explanations of the advertised focus, not a new set of mandatory qualifications imposed by Jobsii.
The listing should not be reduced to a pure coding role or described as a guaranteed machine-learning research placement. Its title and description combine analytical and business-oriented work. Specific assignments, training plans and project allocation should be clarified through official employer communication.
Eligibility and skills
LSEG states that candidates should have completed their studies in 2026, or be in the final year of an undergraduate or Master’s programme and complete all course requirements before summer 2027. Check your actual completion timetable, not just the academic-year label, against that condition before applying.
The listing asks for practical working knowledge of SQL for querying, filtering and aggregating multi-table datasets, introductory Python proficiency for data analysis, and foundational understanding of financial markets, asset classes and corporate finance. Quantitative subjects, Data Science, AI, Data Analytics, Business Analytics and Computer Science backgrounds are preferred. The listing also makes clear that a relevant technical or quantitative background is not essential where the candidate demonstrates the required interest and capability.
An engineering background combined with finance knowledge is described as preferred. Applicants should keep the difference between preference and eligibility clear. This article does not turn preferred subjects into an absolute exclusion of every other discipline or add a minimum percentage, certification or numerical experience threshold that the source does not state.
The one-application rule
The official listing instructs candidates to submit only one application across LSEG Graduate Programme opportunities. This is an important condition for applicants comparing different tracks. Do not follow general advice to apply to every graduate programme listing if it conflicts with this employer-specific rule.
Choose the programme that best matches your interests and preparation, then follow the official application instructions. If you have already applied to another LSEG graduate opportunity, check the employer’s guidance before submitting again. Jobsii is not promising that multiple applications will improve your prospects.
Application stages and practical details
The advertised process lists application, an immersive assessment, video interview and an assessment centre. These are the employer’s stated stages, not a guarantee that every applicant reaches each one. Specific instructions and scheduling should come from LSEG, and candidates should monitor their official application communication.
The listed location is Bengaluru, but location alone does not establish work mode. The reviewed description does not explicitly confirm remote, hybrid or office-only work. Likewise, salary is not disclosed. Ask about those employment terms through the official process rather than rely on assumptions or third-party estimates.
How to prepare
As general preparation advice, use examples that connect analysis to a clear question. For SQL or Python work, explain what data you used, how you checked it and what conclusion was supported. For a financial-market or business project, explain the context and limitations rather than only presenting a polished chart.
Prepare an accurate account of your study-completion dates and why this particular graduate track fits you. Review the one-application rule before submitting. These suggestions help organise an application; they are not a promise of selection or a substitute for the employer’s assessment instructions.
How to apply
- Open LSEG’s official graduate-careers listing below.
- Confirm Business Graduate Associate (Data & Analytics), Bengaluru and requisition R0123974.
- Review study-completion eligibility, preferred backgrounds and the one-application condition.
- Apply through the official Workday flow before the listed deadline, allowing for possible earlier closure.
View the official LSEG Data & Analytics graduate opportunity and apply.
The current official listing takes precedence if details change. Jobsii does not guarantee eligibility, selection, salary terms or progression through the programme.
