Quantitative Risk Specialist

3 weeks ago


London, Greater London, United Kingdom Oxford Knight Full time

Oxford Knight is hiring a Quantitative Risk Specialist to assemble a strong Quant Technology team and build their next generation of in-house analytics and trading support tools.

Key Responsibilities
  • Develop and enhance the back-end distributed system, providing continuous and uninterrupted Risk and Profit&Loss information to Portfolio Managers and Risk Officers.
  • Manage a small team of Python back-end developers while continuing to work at least 50% hands-on.
  • Work closely with Quant researchers and developers, tech teams, middle office and trading teams in Tel Aviv and New York / Miami.
Requirements
  • Substantial experience developing in Python (at least 7 years development experience, at least 2 years in Python).
  • Previous experience managing a team / leading developers on projects.
  • Experience in Client-Server, Distributed computing and Microservices design patterns.
  • Good understanding of various Design Patterns, Algorithms & Data structures.
  • Docker/Kubernetes
  • NoSQL like MongoDB
  • Asynchronous programming in Python and use of the asyncio library
  • Reactive and/or functional programming
  • Linux environment
  • Continuous Integration and Deployment (CI/CD)
  • Java or C++ (including modern C++ standards)
  • Cross Asset Pricing and Risk Systems, financial mathematics and statistics, or the financial industry


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