Intern - Finance Engineer

LSEG•New York, NY

7d•$55,500 - $92,500•Hybrid

About The Position

The Finance Engineer Summer Internship Programme is designed to introduce interns to a career as a Financial Engineer at LSEG. Interns work on real-world projects as part of a team with experienced engineers. This position is on the Optimisation Strats Team within the Post Trade Engineering division and is based in LSEG’s New York City office. The programme begins in June 2027 and lasts 12 weeks. The Strats team designs, builds, implements, and maintains algorithms used in LSEG services. Its work includes developing models for linear or convex optimisation problems and interpreting their solutions as financial transactions intended to improve derivatives portfolios. The team also handles data preprocessing, postprocessing validation, proposal generation, and large datasets. The successful candidate will join a small team of 4–6 financial engineers to design and implement improvements to optimisation services. The intern will work with Product Development to enhance products using client feedback and analysis of runs, and contribute to strategic projects. Example projects include improving scaling and performance, introducing mixed-integer models, studying sensitivity to data changes, refactoring code to share functionality across assets, developing runtime heuristics, and improving validation of incoming client data. Candidates should 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 the 2027/28 academic year. Relevant fields include mathematics, physics, engineering, computer science, or other quantitative disciplines. Candidates should be interested in a career in Financial Engineering and in learning about LSEG’s business. The role is hybrid: colleagues spend three days in the office, with flexibility to work in a way that supports excellent work.

Requirements

Be in the penultimate year of an undergraduate degree or final year of an undergraduate degree and plan to continue onto a master’s degree for academic year 2027/28.
Study mathematics, physics, engineering, computer science, or another quantitative field.
Experience with Python.
Strong mathematical background, including numerical methods, linear algebra, probability, and statistics.
Basic understanding of linear and/or mixed-integer programming and convex optimisation.
Excellent problem-solving skills.
Ideal candidates will have the right to work in New York or London without restrictions for the duration of the internship programme.

Nice To Haves

Familiarity with pandas and NumPy.
Knowledge of basic financial products.
Familiarity with UNIX.
Demonstrate an understanding that how work is achieved is as important as what is achieved.

Responsibilities

Work as part of a small team of financial engineers to design and implement improvements to optimisation services.
Work with the Product Development team to enhance products based on client feedback, analysis of runs, and strategic projects.
Contribute to optimisation-related projects, potentially including scaling improvements, mixed-integer models, sensitivity analysis, code refactoring, runtime heuristics, and validation of incoming client data.
Design, build, implement, and maintain algorithms and related data processing and validation logic.

Benefits

Competitive base salary of $55,500–$92,500, with eligibility for the Variable Incentive Compensation plan.
Annual Wellness Allowance.
Paid time off.
Medical, dental, and vision coverage.
Flexible spending and health savings options.
Prescription drug plan.
401(k) savings plan and company match.
Basic life insurance and disability benefits.
Emergency backup dependent care.
Adoption assistance.
Commuter assistance.
Paid volunteering days.
Wellbeing initiatives.