Tradewell Technologies is a well-funded, international FinTech start-up on a mission to reinvent trading and portfolio management using the latest technologies in AI, machine learning and UI design for hedge funds, asset managers and other market participants. You have an opportunity to join the founding team that has over 35 years of combined experience at leading quantitative hedge funds and investment banks in the world.

Tradewell Technologies


Software Engineer

£50,000-£100,000 / YEAR

You will work as part of the founding team, writing quality production trading systems code from the ground up. You will work in close collaboration with a small elite team of quants and front/back-end developers in an open, results-driven culture.

The ideal candidate will have a Computer Science, Engineering, or Data Science degree and practical experience in developing modern, complex systems. You must have a passion for writing clear, concise, and practical code using latest tools and development concepts. You will be a founding member of a small engineering team making an immediate business impact. As one of the first hires you will have the opportunity for rapid professional growth.

  • Undergraduate degree (or higher) in Computer Science, Engineering or Data Science from a leading university
  • Demonstrable experience in delivering high-quality, well-written code in Kotlin or Java
  • Familiarity with modern, highly automated development environments (including cloud deployment) and methods
  • Be independent, self-motivated, and a fast learner
Key skills:
  • Expert in Kotlin/Java
  • Familiarity with real-time systems, e.g. Kotlin coroutines
Our technology stack: 
  • Kubernetes (EKS)
  • AWS
  • Docker
  • Grafana
  • Prometheus
  • GitLab
  • Kafka (MSK)
  • Front-end React
Desirable skills:
  • Experience working with data pipelines and web technologies
  • Other programming languages: Python, Typescript/Javascript
  • Interest in the intricacies of trading, finance, and market microstructure
  • Competitive salary
  • Stock options
  • Flexible working hours
  • 100% Remote
  • Work/life balance
  • Modern technologies: AWS, Kubernetes, Grafana, Springboot, ...
  • Clean code
  • Agile
  • Flat org structure