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PhD or Masters from a top tier academic institution in a quantitative field such as Mathematics, Statistics, Physics, Engineering.
Experience in applying advanced mathematics, finance and computer technology to finance. Particular credit will be given for exposure to relevant numerical methods (Monte Carlo, grid methods for solving PDEs).
Various degrees of professional experience in the above areas will be considered, but the optimal candidate is likely to have around two years of experience in derivatives modelling.
Experience in programming in Python and/or C++, C#, Java, etc and be able to demonstrate strong communication skills.
Experience and/or research projects with Machine Learning / Data Science is also preferred.
Internal Number: 6092414
About Anson McCade
eFinancialCareers is a career site specializing in financial services.