1 to 12 of 12 Permanent Stochastic Calculus Jobs

XVA, FX, rates, credit or commodities and a good highl evel cross asset class product knowledge are required. In depth knowledge of pricing models, stochastic calculus, stochastic processes and numerical analysis is essential. Good working experience in Excel and C++ is essential. Experience with Murex is beneficial. more »

dependent option models and SABR. Experience/knowledge of Risk Models such as Value-at-Risk (VaR) and Stress methodologies. Strong mathematical background covering stochastic calculus, statistics, matrix algebra, optimisation methods and interpolation techniques. Object-oriented programming skills. Preferably Python and or C#, although skills in other languages more »

Physics or Statistics would be beneficial Significant experience in a Model Validation or Front Office Quant role Excellent mathematical ability with an understanding of Stochastic Calculus, Partial Differential Equations, Monte-Carlo Methods, Finite Difference Methods, and Numerical Algorithms Deep understanding of interest Rates and FX derivative models Strong more »

and SABR. • Experience/knowledge of FRTB, IRRBB and Risk Models such as Value-at-Risk (VaR) and Stress methodologies.. • Strong mathematical background covering stochastic calculus, statistics, matrix algebra, optimisation methods and interpolation techniques. • Object-oriented programming skills. Preferably Python and or C#, although skills in other languages more »

/or scientific computing. Financial products: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Financial mathematics: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Responsibilities This role is responsible for one or more functions within Quantitative Risk Management (QRM) who more »

plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application more »

plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Master's degree or equivalent in a computational or numerical field such as computer science, information more »

plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Master's degree or equivalent in a computational or numerical field such as computer science, information more »

with analytics across business lines Contribute to pricing framework, model validation, and regulatory compliance Candidate Profile: Proficiency in numerical methods including Monte-Carlo and Stochastic Calculus Extensive knowledge of derivative products, especially options Strong programming skills in C++ 17/20 or Rust, Python Excellent analytical, communication, and more »

plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application more »

plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application more »

in a STEM field. +2 years of experience as a quant or systematic researcher. Strong background in using numerical methods including Monte-Carlo, and Stochastic Calculus for vanilla & exotic derivative valuations. Knowledge of major derivative products in equity, rates, FX or commodity markets. Particularly options. Understanding of back more »