LSEG: Engineering Graduate Associate

Job Description

London Stock Exchange Group (LSEG) is offering an exciting Engineering Graduate Associate opportunity for final-year students and upcoming graduates who want to build a career in technology, software engineering, financial markets, and data-driven solutions. This 12-month Early Career Programme is designed to help graduates develop strong technical foundations while working on real-world projects supporting global financial markets infrastructure. Selected candidates will have the opportunity to work with experienced technology professionals, learn modern engineering practices, and gain exposure to large-scale platforms used by businesses and financial institutions around the world. The programme is particularly suitable for students from Computer Science, Information Technology, Artificial Intelligence, Machine Learning, Data Science, Electronics and Communication Engineering, and related technical backgrounds.

The Engineering Graduate Associate programme provides exposure to multiple technology disciplines, allowing candidates to contribute to different stages of the technology lifecycle. Depending on the assigned role, graduates may work in Software and Platform Engineering, Quality Engineering, Reliability Engineering, Cyber Security, Service Management, Service Operations, Data Science, Machine Learning, or Financial Engineering. These teams solve complex technical and analytical challenges while building secure, scalable, reliable, and high-performing products and services. Graduates will have the opportunity to apply programming, analytical thinking, data skills, problem-solving abilities, and engineering fundamentals to practical business challenges. The programme also emphasizes collaboration, continuous improvement, Agile delivery, operational excellence, and the ability to work effectively within a global technology organization.

This role can provide a strong foundation for a long-term technology career within financial markets engineering. LSEG encourages innovation, collaboration, learning, and continuous development, giving early-career professionals the opportunity to understand how technology supports financial markets and global economic activity. Engineering associates can develop expertise across software development, infrastructure, quality assurance, cybersecurity, reliability, data science, machine learning, financial modeling, and service operations. Working alongside experienced engineers and cross-functional teams allows graduates to strengthen both technical and professional capabilities. For students looking to start their careers with a global financial technology organization, this programme offers meaningful exposure to live projects, modern engineering practices, and technologies that support critical financial market infrastructure.

Roles & Responsibilities

• Contribute to software and platform engineering projects by developing, maintaining, testing, and improving applications, infrastructure, and technology systems that support LSEG's products and services.
• Participate in the complete software engineering lifecycle, including requirements understanding, technical development, testing, deployment, monitoring, troubleshooting, maintenance, and continuous improvement.
• Work with engineering teams to identify technical challenges, analyze potential solutions, and implement reliable technology improvements that enhance application performance, scalability, and maintainability.
• Support Quality Engineering activities by helping identify defects, validate requirements, develop test scenarios, and ensure that applications meet functional, technical, and business expectations.
• Contribute to Reliability Engineering initiatives focused on application availability, performance, resilience, monitoring, incident prevention, and rapid recovery from technology failures.
• Support cybersecurity teams in assessing technology risks, implementing security controls, protecting systems and data, and ensuring engineering practices align with internal standards and regulatory requirements.
• Participate in Service Engineering and Service Management activities, helping maintain operational governance, service standards, lifecycle processes, and ITIL-aligned practices across technology services.
• Work with Service Operations teams to monitor systems and services, investigate incidents, coordinate issue resolution, and help maintain high levels of availability and operational performance.
• Support Data Science and Machine Learning initiatives by applying statistical, analytical, computational, and programming skills to build models, generate insights, and develop data-driven technology solutions.
• Assist Financial Engineering teams in developing and implementing quantitative models that support financial product pricing, risk management, transaction processing, and financial data analysis.
• Participate in Agile development activities, collaborate with colleagues from different technology disciplines, contribute to team discussions, and continuously improve engineering processes and delivery practices.
• Build strong technical and professional capabilities through mentorship, structured learning, hands-on projects, feedback, and exposure to experienced engineers working on global financial technology solutions.

Requirements & Eligibility

• Candidates must be final-year undergraduate or Master's students who are expected to graduate by August 2027, making this programme particularly suitable for students preparing to begin their professional technology careers.
• Applicants should be pursuing BE/BTech in Computer Science, Information Science, Information Technology, Artificial Intelligence, Machine Learning, Data Science, Electronics & Communication Engineering, or an equivalent technical specialization.
• Candidates pursuing an MCA degree are also eligible, provided they meet the programme's academic and graduation requirements.
• Applicants must maintain a minimum 7.5 CGPA throughout their academics, including applicable 10th, 12th, undergraduate, and postgraduate academic records.
• Candidates must have no active academic backlogs at the time of application or onboarding. Applicants should ensure that their academic records satisfy the programme's eligibility conditions.
• Strong understanding of computer science, programming, software development, engineering fundamentals, mathematics, data analysis, or other relevant technical concepts will help candidates succeed across the different engineering tracks.
• Strong analytical and problem-solving abilities are important because the programme involves working on complex technical challenges related to software, reliability, cybersecurity, data science, financial engineering, and service operations.
• Candidates should demonstrate strong communication, collaboration, adaptability, and teamwork skills because LSEG engineering teams work across functions, technologies, locations, and global business units.
• A genuine interest in financial technology, software engineering, data science, machine learning, cybersecurity, cloud platforms, reliability engineering, or quantitative technology will be beneficial for long-term growth within the organization.
• Candidates should be willing to learn new technologies, work in Agile environments, accept feedback, collaborate with experienced professionals, and continuously improve their technical knowledge throughout the 12-month early-career programme.

Expected Salary

The expected salary for an Engineering Graduate Associate at LSEG in Bengaluru or Hyderabad can reasonably be estimated around ₹6 LPA to ₹10 LPA, depending on the specific engineering track, candidate's technical background, academic performance, and final compensation structure. This is an estimated range because the provided job posting does not publish a specific salary figure. Current Glassdoor data lists LSEG Software Engineer compensation in India around ₹7–12 LPA, while recent Bengaluru submissions for Software Engineers with 1–3 years of experience have included approximately ₹10–17 LPA.

The final package for graduates may vary based on the assigned engineering function, skills, qualifications, and organizational compensation policies. LSEG also provides a range of employee benefits and support, including healthcare, retirement planning, wellbeing initiatives, paid volunteering opportunities, and other employee development benefits.

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