We propose a quantization-based numerical scheme for a family of decoupled forward-backward stochastic differential equations. We simplify the scheme for the control in Pages and Sagna(2018) so that our approach is fully based on recursive marginal quantization and does not involveany Monte Carlo simulation for the computation of conditional expectations. We analyse in detail thenumerical error of our scheme and provide some examples of application to financial mathematics.
