Quantitative Developer

1 day ago


London, UK, United Kingdom Quant Capital Full time

Exchange Algo Quant Developer - Insurance

Hybrid working

£150,000 Plus Bonus


Quant Capital is urgently looking for an Quant Analyst / Algo Developer to join a high profile FinTech in London.


Our client is an established yet rapidly expanding insurance exchange that has built a global network matching automated insurance trading. This is a brand new product in an old space. Very similar in nature to Algo OTC trading mixed with Exchange based algo trading.

This is a greenfield project building out buy and sell side trading algorithms. You will lead the market in developing the logic as well as the algorithms to execute in the market.

This role is a key hire for their continued success and would ideally suit an independent worker who enjoys a smaller team with a chance to make maximum impact.


The Role

  • Working individually and with developers to create, develop and implement complex pricing and risk models.
  • Use stochastic calculus, partial differential equations, Monte Carlo simulations, statistics, and numerical algorithms for quantitative analysis.
  • Develop production-ready code using object-orientated programming.


Skills and Experience

  • Experience in financial markets focused on trading and risk management within the OTC or exchange based trading market
  • MSc or PhD in a STEM subject
  • Python
  • Version control such as Git/Github
  • Experience in yield curves construction
  • Knowledge of fixed income performance attribution methodologies


The environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. The atmosphere is calm and relaxed with an open dress code. This is a role for techies, those who are motivated by the sharp end of technology and the possibility of making serious money doing something you are passionate about.


Join our client's dynamic team and contribute to their mission of reshaping the financial markets with their groundbreaking global financial network.


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