Intern - Software Engineer

London Stock Exchange Group•New York City, NY

2d•Hybrid

About The Position

The Software Engineer Summer Internship is a 12-week programme starting in June 2027, based in the Optimisation Core Technology Team within LSEG’s Post Trade Engineering division. Interns work on real projects alongside experienced engineers and collaborate with the Product Development team to enhance services using client feedback, analysis of runs, and strategic initiatives. The Core Technology team builds systems that securely receive clients’ risk and trade data, pass it to optimisation services, and return computation results safely and promptly. The systems also provide feedback to help clients understand results and improve future inputs. The applications run in AWS and use technologies including Lambda, EC2, RDS, and Redshift. The successful candidate will join a team of 5–10 engineers to build and research improvements to applications and the environment. Potential projects include developing Python software for data-quality workflows, using pricing algorithms in data-quality checks, building internal optimisation portal screens, connecting to external booking systems and trade stores, and improving task queueing and resource utilisation. LSEG seeks candidates interested in financial engineering and learning about the breadth of its business. The internship includes a technical and coding assessment, an untimed immersive online assessment, a strength-based video interview, and a virtual half-day assessment centre. Applications close on 30 November; candidates are considered on a rolling basis and applications may close early. Applicants should submit only one application, as only the first application will be reviewed.

Requirements

Be in the penultimate year of an undergraduate degree or final year of an undergraduate degree and plan to continue to a master’s degree in academic year 2027/28.
Study Computer Science, Engineering, or another relevant technology field.
Have a solid understanding of Python for executable, repeatable programmes rather than data analytics.
Be able to collaborate with others and communicate effectively.
Show curiosity about data and the ability to analyse information, draw conclusions, and propose solutions.
Have familiarity with the UNIX command line.
For the London or New York City programme, have unrestricted rights to work in the relevant location for the duration of the internship.

Nice To Haves

Affinity with the PyData stack.
Some experience with AWS and/or frontend development.
Demonstrate an appreciation that how results are achieved is as important as what is achieved.

Responsibilities

Work on software projects addressing real problems as part of a team with experienced engineers.
Build and research improvements to applications and the technology environment.
Work with the Product Development team to enhance services based on client feedback, analysis of runs, and strategic projects.
Design and build workflows for running data-quality checks on client-submitted financial data.
Collaborate with the Analytics team to use pricing algorithms in data-quality checks.
Build internal portal screens used by the Product team to perform optimisations.
Implement connectivity to external booking systems, trade stores, and related systems.
Enhance the task queueing system to improve resource utilisation.