IT & Software

Full Stack Python Developer – Fintech

Quant Capital

London · England · United Kingdom

Overview

In this role you will contribute to a fintech-focused quantitative data business by building and maintaining scalable web services and tools. You will collaborate with a team of Python developers and quants to deliver robust front- and back-end solutions in a fast-changing, high-release environment. The work combines Python, web technologies, and cloud infrastructure to empower data-driven purchasing decisions. You will join a technically ambitious, relaxed culture with opportunities for professional growth and equity participation.

Pay / Benefits

  • remote work
  • stock options
  • company laptop after probation
  • budget for technical improvement (CodeSchool, Coursera)
  • travel to and from office paid when remote work from London area

Responsibilities
  • Build and maintain scalable, high-availability services
  • Develop front-end and back-end web applications using Python/Flask and Angular
  • Contribute to a fast release cycle within a small, skilled team
  • Work with Linux/Unix system administration and network/security concerns
  • Collaborate with quants and developers to shape data products
  • Leverage AWS and NoSQL/SQL databases to support data services
  • Implement CI/CD and test-driven development practices
  • Utilize tools like Git, Jenkins, and scripting for deployment and automation

Key requirements
  • Strong Python expertise (libraries include fabric, Selenium, twisted, regex, pymongo)
  • Computer Science degree
  • Experience building robust, scalable services
  • Linux/Unix with network and security awareness
  • AWS experience (boto)
  • MongoDB administration; memcached; MySQL
  • DVCS like Git; CI with Jenkins
  • Test Driven Development (unittest, nosetests)
  • Frontend experience with Angular; general full-stack capability
  • Familiarity with Flask/Twisted and web service design
  • keen interest in latest frontend technologies
  • ability to work in a fast-paced environment
  • passion for computer science and problem solving
  • Python (deep knowledge)
  • Angular
  • Flask

Reference: WJ-799_20829597

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