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A financial client I am working closely with are urgently seeking for a Portfolio Quant
The ideal candidate has a degree in a quantitative subject: maths, physics, engineering, statistics etc. A post-graduate education level (PhD or equivalent) is desirable.
The candidate has the following experience and skills set:
Working experience with Monte Carlo simulations and possess relevant statistical knowledge that comes with it.
Past experience working with VaR modelling, scenario generation or/and backtesting is preferable.
5y+ experience working as quant/quantitative developer in a large quant library within a major financial institutions, with front office or market risk focus;
Exceptional C++, with strong capacity of abstraction and design skills;
strong knowledge of at least one asset class - interest rate, FX , inflation products etc.
strong analytical and numerical skills, with desirable skills in statistical techniques used in the computation of VaR, expected shortfall etc.
CV will only be considered with the above.
Experience with C++ and Python is a must in Quant capacity
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Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 1st Floor, 75 King William Street, London, EC4N 7BE, United Kingdom | Partnership Number | OC387148 England and Wales