Location
10 Paternoster Square, London

Hours
Full Time

Salary
Negotiable

About the Role
LSEG Data & Analytics is one of the world’s largest providers of financial markets data and infrastructure. With over 40,000 customers and 400,000 end users across approximately 190 markets, we are an essential partner to the global financial community and are redefining the future of data in financial services. We enable customers to draw crucial insights through data, feeds, analytics, AI and workflow solutions. Our engineers design, develop and deliver products and services that reimagine how our industry works. Driving innovation through digitalisation and AI, we deliver accelerated impact and excellence for customers every day.

We are seeking passionate software engineers from mid-level to lead to help us build robust, enterprise-grade solutions that drive real-world impact. Our problems are complex, ranging from building AI-powered analytics that are constantly evolving to challenges that define modern finance, giving engineers the opportunity to stretch their craft and shape solutions that matter.

Our software engineers have a strong appetite for innovation, new technologies, and AI, both in how we accelerate engineering and in how we create smarter, more valuable experiences for our customers. We encourage curiosity, experimentation, and continuous learning, giving our teams the opportunity to solve complex challenges at scale.

Experience
- Proven experience with one or more of the following technologies: Java, Python, C++ or C#
- Strong experience with CI/CD, unit testing frameworks and automation (testing/deployment) in cloud platforms such as AWS or Azure
- Prior Financial Services or Big Tech experience preferred

About you
- Curiosity about AI and a strong interest in how emerging technologies can be applied to solve complex software engineering problems
- Excellent problem-solving skills and a proactive approach to identifying and resolving issues
- Willingness to learn and work with new technologies across the full stack
- Strong teamwork and communication skills, with the ability to collaborate effectively with cross-functional teams across multiple regions and timezones

Qualifications
Bachelor’s degree in Computer Science, Engineering or a related field, or relevant experience