LSEG Hiring Graduate Engineer | Hyderabad, Bengaluru

At LSEG, we’re not just building platforms—we’re building the future of global finance. If you’re a final-year student passionate about software engineering, data science, or cybersecurity, this is your chance to join a global financial powerhouse that empowers economies and drives financial stability.

Our Early Career Engineering Programme is a 12-month immersive journey crafted to kick-start your professional path in financial markets infrastructure. From day one, you’ll work on live projects that matter, learning from the best minds while using the latest technologies.

📍 Location: Divyasree Technopolis, Bengaluru & Hyderabad
🕒 Job Type: Full-time
🗓 Posted: 2 Days Ago
📌 Application Deadline: August 18, 2025
💼 Job ID: R0109077

About the Programme

This is more than a job—it’s a launchpad. As a part of our Early Careers talent stream, you’ll:

• Gain hands-on experience on real-world financial software and systems.
• Collaborate with cross-functional teams and global stakeholders.
• Learn in an agile, tech-forward, product-led environment.
• Develop your skills in coding, analytics, platform reliability, cyber security, and more.

Eligibility Criteria

🔹 Education:

• Final year BE/BTech (CS, IS, IT, ECE) or MCA
• Graduating by August 2026

🔹 Academic Requirements:

• Minimum 7.5 CGPA in 10th, 12th, and UG/PG
• No active backlogs at the time of application or onboarding

🔹 Location:

• Bengaluru or Hyderabad, India

🛠 Engineering Career Tracks

You’ll be matched to roles based on your strengths and preferences across three main tracks:

🧩 1. Product Engineering

• Software & Platform Engineering:
  Design and develop resilient software and infrastructure systems.
• Quality Engineering:
  Deliver robust and trusted systems by combining business understanding with technical insight.
• Reliability Engineering:
  Maintain system uptime and recoverability with advanced monitoring tools and incident response strategies.

• Cyber Security:
  Safeguard data and infrastructure with cutting-edge security protocols and risk mitigation strategies.

2. Service Engineering

• Service Management:
  Govern end-to-end service lifecycle using ITIL best practices, ensuring operational excellence.
• Service Operations:
  Monitor, maintain and optimize infrastructure and services with a focus on performance and availability.

3. Quantitative Analytics

• Data Science:
  Use statistical models and machine learning to solve real-world problems and build production-grade AI tools.
• Financial Engineering:
  Build quantitative models that drive pricing, trading, and risk management systems.