About the role
Financial EngineerQuant Capital is urgently looking for a Quant Integration Engineer / Financial Engineer to join our high profile client.Our client is a well-known Quant consultancy with a high academic pedigree. They offer the ability to work in multiple asset classes on multiple projects with a variety of very interesting clients. This is a stable company so offers serious opportunities when banks are currently firing. The environment is focussed purely on derivatives in an academic yet business setting. With 70 quants and 50 integration engineers in the business this is a role that will provide epic future career options.The main focus of this role involves implementing credit risk and administration solutions, and also the regulatory capital solution.Implementations are structured around project teams that include both functional and technical specialists. Team size varies with the nature of the project, and is typically between 2 and 10 consultants. Integration Engineers are the technical specialists in the team and are expected to have detailed knowledge of solutions and components, as well as to understand the IT and technical issues relating to the client’s environment.The Financial Engineer will also have opportunities for involvement in pre-sales activities, short-term pilot projects, client support work and delivery of formal & informal technical training.Financial Engineers MUST have:Experience with MUREX, Algorithmics, Sophis , Fidessa or similar financial vendor implementation (could be Monte Modelling)C++ or JavaExperience of DerivativesFinancial engineering skillsMSc or PhD in Physics, Comp Sci, MathsWe would consider an experience Pre Sales candidate as well.This is a unique company that allows freedom in the quantitative area this is a role for a candidate with excellent experience as well as good personal communication skills.My client is based in LondonIf this sounds of interest then please send your most recent cv to applications@ or Call James on Quant, Financial Engineer, C++, R, C, SQL, Monte Carlo, Modelling
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