Trading Systems Intern: Go & High-Performance Tech

Talos Trading; Greater London; Hybrid; GBP 18,000 - 28,000; Full time

Benefits offered by this job

Lunch credit

Evening socials

Catered lunches on Tuesdays

Job summary

Talos Trading is hiring a Software Engineer Intern for the Trading team for Summer 2027. You will contribute to high-performance trading systems, designing components to boost algorithmic capabilities and expanding existing infrastructure.

Join a hybrid-friendly culture with engineers and leaders across New York, London, and beyond, and help build tooling that informs trading decisions and performance evaluation.

Qualifications

• Pursuing Class of 2028 degree in Computer Science or related field.
• Proficiency in Go, C++, or Java.
• Previous internship with backend systems in production, ideally user-facing.
• Experience with PostgreSQL or relational databases.
• Trading systems experience is a plus.
• Detail-oriented, analytical, and proactive.
• Strong verbal and written communication; able to explain technical concepts.
• Able to work autonomously and in a team.
• Energetic, creative, self-starter, able to manage tasks independently.

Responsibilities

• Collaborate with the Trading team to define project scope, requirements, and milestones.
• Prepare design documentation and participate in architectural discussions with team members.
• Build features in Go to enhance Talos's Order Management System (OMS).
• Add analytics and metrics to measure impact of changes and iterate.
• Demonstrate project progress through regular demos.

Skills

Go

C++

Java

Backend systems

PostgreSQL

Communication

Teamwork

Autonomy

Education

Class of 2028 degree in Computer Science or related field

Job description

Talos Trading is hiring a Software Engineer Intern for the Trading team for Summer 2027. You will contribute to high-performance trading systems, designing components to boost algorithmic capabilities and expanding existing infrastructure.

Join a hybrid-friendly culture with engineers and leaders across New York, London, and beyond, and help build tooling that informs trading decisions and performance evaluation.