Python Developer

We are assembling a strong Quant Technology team to build our next generation of in-house analytics and trading support tools. This team will develop and maintain the in-house models and pricing libraries, providing firm-wide live risk and Profit & Loss analysis to support global trading in Fixed Income, Commodities, Credit, commodities and FX products.

This is a unique opportunity to join one of the leading hedge funds in the world and enter the fast-growing world of FinTech, learning from the best in the field how it is done at the highest levels. We offer a fast-paced environment with excellent international growth opportunities and exposure to world-class financial technologies and global markets.

Responsibilities

• Take part in the development and enhancement of the back-end distributed system, providing continuous and uninterrupted Risk and Profit & Loss information to Portfolio Managers and Risk Officers.
• Work closely with Quant researchers and developers, tech teams, middle office and trading teams in London and New York / Miami.
• Build micro services on top of our new analytics library and integrate it into the existing system, using the latest technologies.
  
  

• 2+ years of experience developing systems in Python ( or other OOP languages with python knowledge).
• Experience in Client-Server, Distributed computing and Microservices design patterns.
• Experience developing and maintaining back-end distributed system.
• Good understanding of various Design Patterns, Algorithms & Data structures
• Experience working with Git / GitHub.
• B.A. in computer science or another quantitative field
• Ability to communicate effectively with senior stakeholders across the organization
• Able to work independently in a fast-paced environment.
• Detail oriented, organized, demonstrating thoroughness and strong ownership of work.
  
  

• Experience with Docker/Kubernetes
• Experience with NoSQL like MongoDB
• Experience with asynchronous programming in python and use of the asyncio library
• Experience with reactive and or functional programming
• Experience with Continuous Integration and Deployment (CI/CD)
• Experience developing Cross Asset Pricing and Risk Systems
• Experience with financial mathematics and statistics.
• Experience in the financial industry