About the position
Application Institutional Fabric for the Digital Asset Market Founded in 2018, provides institutional-grade trading technology for the global digital asset market, powering many of the major players in the crypto ecosystem. Our mission at is clear: to advance the mass adoption of digital assets by seamlessly connecting institutions to the digital asset ecosystem. We are committed to building the most innovative and trusted platform in the world, supporting the entire trading lifecycle. At, you'll find an environment that champions kindness and respect, values diverse perspectives, and upholds inclusivity at every turn. We believe that every member of our team adds invaluable insights and abilities that drive forward. In our pursuit of excellence, we foster a culture of trust and integrity, collaboration, and mutual growth. Together, we are ambitiously building something extraordinary. Your unique talents and insights will play a crucial role in our shared success. We are a tight-knit but decentralized team of highly-experienced engineers and businesspeople. We have a hybrid-friendly work environment, with physical hubs in New York, London, Singapore, Sweden and Cyprus.
Responsibilities
- Collaborate with the Trading team to define project scope, requirements, and milestones
- Prepare design documentation and actively participate in architectural discussions with team members
- Build features in Go to enhance's Order Management System (OMS), which is responsible for making all trading related decisions for orders submitted into to ensure best execution
- Add analytics and metrics to measure impact of your changes while incorporating feedback and iterating based on team input
- Demonstrate project progress through regular demos
Requirements
- Class of 2027 pursuing a degree in Computer Science or related field
- Proficiency in at least one compiled language (e.g., Go, C++, Java)
- At least one previous internship involving working on backend systems in a production environment, preferably in a user-facing context
- Knowledge of relational databases (e.g Postgres)
- Past experience with trading systems is a plus
- Detail-oriented, self driven, analytical, and enthusiastic about working on impactful projects
- Strong communication skills, with an ability to convey technical concepts clearly
- Ability to work autonomously as well as a part of a collaborative team environment
- Energetic, creative, and a self-starter who can manage tasks autonomously
Nice-to-haves
- Past experience with trading systems
Benefits
- Paid lunches in the office
- Monthly fitness and evening socials to foster connections with colleagues
- Other events to engage with the wider team
