
Bouazza Saadeddine
Crédit Agricole CIB
Bouazza Saadeddine is a quantitative analyst at Crédit Agricole CIB where he is currently leading a large-scale AAD project on the front-office side and researching fast pricing approaches. His current interests are machine learning applied to finance, automatic differentiation, high-performance computing and low-latency programming. Bouazza Saadeddine graduated from Université Paris-Saclay and holds a PhD in applied mathematics from the same university.
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Articles by Bouazza Saadeddine
An explicit scheme for pathwise cross valuation adjustment computations
The authors put forward a simulation/regression scheme for a class of anticipated backward stochastic differential equations, where the coefficient entails a conditional expected shortfall of the martingale part of the solution.
CVA sensitivities, hedging and risk
A probabilistic machine learning approach to CVA calculations is proposed