C++ Team Lead- Leading Global Hedge Fund

4 weeks ago


London, United Kingdom Oxford Knight Full time
This firm is assembling a strong Quant Technology team to build the next generation of in-house analytics and trader support tools. This team will develop and maintain the in-house models and pricing libraries, providing firm-wide live risk and P&L to support trading in Fixed Income, Commodities, Credit, and FX derivatives.

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. On offer is 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, enabling continuous firm-wide risk and P&L calculations
  • Work closely with Quants and Quant Developers globally to develop pricing and risk analytics for the in-house pricing library
  • Participate in the development of in-house pre-trade analysis and market analysis tools for Portfolio Managers

Mandatory Requirements:
  • Substantial experience developing in C++ (expert understanding of the C++11/14/17 standards is a must)
  • Previous experience leading / managing a team
  • Experience developing and maintaining back-end distributed system
  • Experience working with a source control system (preferably Git)
  • BSc in Computer Science or another quantitative field (MA degree is a plus)
  • Excellent communication skills
  • Able to work independently in a fast-paced environment.
  • Detail-oriented, organized, demonstrating thoroughness and strong ownership of work.

Additional valuable skills (nice to have):
  • Experience with CI/CD
  • Familiarity with Linux platforms
  • Experience with Fixed Income analytics pricing & risk analytics
  • Experience with Docker/Kubernetes
  • Experience with financial mathematics and statistics
  • Experience in the financial industry



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