London Stock Exchange Group (LSEG) is inviting applications for the Business Graduate Associate (Data & Analytics) position in Bengaluru, Karnataka. This opportunity is designed for graduates interested in data analytics, artificial intelligence (AI), business intelligence, product management, and financial markets.
The role includes a 12-month graduate program in which candidates build foundational skills, learn about financial markets, collaborate across teams, and explore how data and technology can improve products and customer experiences.
According to the official job description, graduates join on a permanent basis and are aligned with the Data & Analytics division from day one.
Candidates who completed their studies in 2026 or are final-year undergraduate or master’s students completing their course requirements before summer 2027 should review the eligibility criteria and apply promptly if the vacancy remains open.
LSEG Business Graduate Associate Job Details
| Job Detail | Information |
|---|---|
| Company | London Stock Exchange Group (LSEG) |
| Job Title | Business Graduate Associate (Data & Analytics) |
| Career Stage | Associate |
| Job Location | Divyasree Technopolis, Bengaluru, Karnataka |
| Job Category | Data & Analytics |
| Employment Type | Full-time, permanent |
| Program Duration | 12 months |
| Eligible Study Completion | 2026 graduates or eligible final-year students completing before summer 2027 |
| Key Technical Skills | SQL and introductory Python |
| Preferred Background | Data science, AI, data analytics, business analytics, computer science, or related quantitative disciplines |
| Preferred Combination | Engineering and Finance |
| Salary | Not disclosed in the supplied official job description |
| Job Requisition ID | R0123974 |
| Listed Application Deadline | October 10, 2026; applications may close early. |
| Official Application | LSEG Workday Careers |
About LSEG
London Stock Exchange Group (LSEG) is a global financial markets infrastructure and data provider. Its businesses support financial markets and customers through data, analytics, capital markets, and post-trade services.
LSEG focuses on helping customers access information and insights that support financial decisions and business outcomes. Its culture is built around the values of integrity, partnership, excellence, and change.
For graduates interested in the intersection of finance, data, technology, and customer needs, this role offers an opportunity to develop their understanding of financial markets while building analytical and business skills.
About the Business Graduate Associate Program
The Business Graduate Associate role is part of LSEG’s Data & Analytics division. It is designed for graduates who are curious about how data, technology, and customer insights can be converted into useful products and solutions.
During the 12-month program, candidates can expect to:
- Build foundational skills for a career in data & analytics.
- Develop an understanding of financial markets, customers, and LSEG’s business.
- Learn how a product-led approach connects customer needs with data and business outcomes.
- Explore data analytics, AI, and business intelligence.
- Work with colleagues across different teams to understand problems and develop solutions.
- Participate in projects and professional development activities.
- Take part in corporate social responsibility (CSR) and volunteering opportunities.
- Connect with LSEG’s global Early Careers community.
This is a graduate employment opportunity, not an internship-only position. The official description states that graduates join on a permanent basis.
Key Responsibilities and Learning Areas
The supplied job description focuses on graduate development rather than a fixed list of daily duties. The main learning areas include:
Data and Analytics
Learn how data can be queried, analyzed, and interpreted to draw conclusions and support business decisions.
Product Management and Customer Thinking
Understand customer problems and explore how data-led products and solutions can address their needs.
Artificial Intelligence and Business Intelligence
Develop an introductory understanding of how AI, analytics, and BI can improve decisions, products, and customer experiences.
Financial Markets
Build foundational knowledge of financial markets, asset classes, corporate finance, and the role of data in the financial industry.
Collaboration and Problem-Solving
Work with colleagues from different teams, evaluate information, communicate ideas, and contribute to solutions.
These areas reflect the program description and should not be interpreted as a complete list of assigned day-to-day responsibilities.
Required Skills
Candidates should focus on the following skills and knowledge areas.
- SQL: Practical working knowledge of querying, filtering, and aggregating multi-table datasets.
- Python: Introductory proficiency in Python for data analysis.
- Data Analysis: Ability to use information and data to draw conclusions and solve problems.
- Financial Markets: Foundational understanding of financial markets, asset classes, and corporate finance.
- Product Thinking: Interest in understanding customer needs and connecting them to product outcomes.
- Communication: Ability to explain ideas clearly and work with different teams.
- Analytical Thinking: Ability to investigate problems, interpret evidence, and develop logical conclusions.
- Adaptability: Willingness to learn and contribute in a fast-paced environment.
Candidates should be prepared to discuss their actual knowledge and projects rather than list tools or skills they have not used.
Preferred Educational Background
LSEG particularly welcomes candidates from these disciplines:
- Data Science
- Artificial Intelligence
- Data Analytics
- Business Analytics
- Computer Science
- Related quantitative disciplines
An engineering and finance combination is also mentioned as preferable.
The listing states that a technical background is preferred but not essential if a candidate can demonstrate strong interest and capability in data and product-led thinking. Candidates should still review the full eligibility requirements before applying.
Eligibility Criteria
To be eligible according to the supplied job description, candidates must meet the study-completion requirement:
- Have completed their studies in 2026, or
- Be a final-year undergraduate or master’s student who will complete all course requirements before summer 2027.
Candidates should also review the role’s expectations around SQL, introductory Python, financial markets, analytical thinking, and customer-focused problem-solving.
Can freshers apply?
Yes. This is a graduate program intended for eligible recent graduates and final-year students. The exact study-completion criteria above should be checked carefully before submitting an application.
The supplied listing does not state a specific minimum percentage, required number of years of experience, or a fixed list of accepted degree titles for this particular vacancy.
Salary and Benefits
The salary/CTC has not been disclosed in the official job notification.
The official description mentions a range of benefits and employee support, including:
- Healthcare support.
- Retirement planning.
- Paid volunteering days.
- Wellbeing initiatives.
- Professional development opportunities.
- Participation in projects and the global Early Careers community.
Specific compensation amounts, allowances, or additional benefits for this role should be confirmed directly with LSEG. Unofficial salary estimates should not be treated as an employer-confirmed package.
Selection Process
The official job description lists the following recruitment stages:
- Application Submission: Submit the application through LSEG’s careers portal.
- Immersive Online Assessment: Complete the online assessment as instructed.
- Video Interview: Discuss strengths, motivation, customer thinking, and interest in product-led ways of working.
- Assessment Centre: Participate in a range of assessment exercises.
LSEG states that applications are reviewed on a rolling basis and the vacancy may close early.
Candidates should demonstrate not only what they have achieved but also how they approach problems, use data and evidence, understand customer needs, and collaborate with others.
Who Should Apply?
This opportunity may suit:
- Recent graduates who completed their studies in 2026.
- Final-year undergraduate or master’s students who will complete all course requirements before summer 2027.
- Students from data science, AI, data analytics, business analytics, computer science, or related quantitative fields.
- Candidates with an interest in financial markets and financial data.
- Applicants with working knowledge of SQL and introductory Python.
- Candidates interested in product management, business intelligence, and data-driven decision-making.
- Graduates who enjoy analytical problem-solving and cross-functional teamwork.
Candidates who prefer purely software-development work should read the description carefully: this program combines data and technology with customer understanding, business outcomes, and product thinking.
Resume Tips for LSEG Applicants
Use your resume to demonstrate your analytical ability, interest in customers, and understanding of data.
- Highlight SQL experience: Mention querying, filtering, joins, aggregation, or multi-table analysis where applicable.
- Show Python projects: Describe a genuine data-analysis project, including the problem, data, methods, and results.
- Include finance-related learning: If you have studied financial markets, asset classes, or corporate finance, mention relevant coursework or projects.
- Demonstrate product thinking: Explain how a project addressed a user need or improved a process.
- Describe your reasoning: Include examples where you used evidence to investigate a problem and reach a conclusion.
- Show collaboration: Mention group projects, presentations, or teamwork that you can explain in an interview.
- Keep details accurate: List only the tools and concepts you can confidently discuss.
- Check your dates: Make your graduation or expected course-completion date clear.
For projects, explain the question you wanted to answer, how you worked with the data, what you found, and why the result mattered.
How to Apply for the LSEG Business Graduate Associate Job
Follow these steps:
- Open the official LSEG Workday job listing.
- Verify the title: Business Graduate Associate (Data & Analytics).
- Confirm the Bengaluru location and requisition ID R0123974.
- Review the study-completion criteria and recruitment stages.
- Prepare an updated resume highlighting relevant data, SQL, Python, analytical, and finance-related experience.
- Submit your application through the official careers portal if the vacancy is still accepting applications.
- Monitor your email for assessment and recruitment updates.
Important: LSEG asks candidates to review its Graduate Programme opportunities and submit only one application. Check the programme options carefully before applying.
Apply Now
Official application link: Business Graduate Associate
The listing gives October 10, 2026 as the end date and warns that applications may close early. Verify the live status on the official page before completing your application.
Important Note
This article is based on the job description supplied for LSEG requisition R0123974. The salary and exact compensation package are not stated in the supplied official description.
The posted deadline is October 10, 2026, but the vacancy may close early. The official application page should be treated as the final source for current availability, eligibility, and application instructions.
Disclaimer
The information provided in this post is for informational purposes only and is based on publicly available job information. JobHunt Daily does not guarantee selection or employment.
Candidates should verify the latest job details on the company’s official careers website before applying. We do not charge any fee for providing job information.
Frequently Asked Questions (FAQs)
Q1. What is the LSEG Business Graduate Associate job?
It is a graduate opportunity in LSEG’s Data & Analytics division, focused on developing skills across data, analytics, AI, business intelligence, product management, and financial markets.
Q2. Where is the job located?
The listed location is Divyasree Technopolis, Bengaluru, Karnataka, India.
Q3. What is the job requisition ID?
The requisition ID is R0123974.
Q4. What is the duration of the graduate programme?
The programme lasts 12 months. The listing states that graduates join on a permanent basis and are aligned with Data & Analytics from day one.
Q5. Who is eligible to apply?
Candidates must have completed their studies in 2026 or be final-year undergraduate or Master’s students who will complete all course requirements before summer 2027.
Q6. Which technical skills are required?
The listing specifies practical working knowledge of SQL for multi-table datasets and introductory proficiency in Python for data analysis.
Q7. Is a Finance background mandatory?
The listing mentions an Engineering and Finance combination as preferable. It also welcomes candidates from Data Science, AI, Data Analytics, Business Analytics, Computer Science, and related quantitative disciplines. Review the full official eligibility criteria before applying.
Q8. What is the salary for this position?
The salary/CTC has not been disclosed in the official job notification.
Q9. What is the selection process?
The listed stages are application submission, an immersive online assessment, a video interview, and an assessment centre.
Q10. What is the application deadline?
The listing shows October 10, 2026, and notes that applications may close early. Check the official application page for current availability.
Q11. Can final-year students apply?
Yes, provided they will complete all course requirements before summer 2027.
Q12. Can I apply for multiple LSEG graduate programmes?
The supplied job description asks candidates to review the Graduate Programme opportunities and submit one application only.
Job Updates Team
We provide the latest job notifications, government and private job updates, recruitment notifications, exam results, admit cards, and career opportunities. Our goal is to help job seekers stay updated with reliable and useful employment information.
