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Jet reconstruction provides access to the kinematics of partons produced in the initial stage of heavy-ion collisions that later suffer energy loss in the medium via gluon radiation and elastic collisions. Reconstructed jets are therefore powerful tools to study the properties of the quark-gluon plasma (QGP). Theoretical models predict a dependence of the energy loss in the QGP on color charge and mass of the parton. Thus, the study of properties of beauty jets in comparison with that of light-flavour jets can reveal important information about the matter formed. b-tagging algorithms rely on the properties of B hadrons, i.e. their long lifetime, large mass and large multiplicity of decay products. In this poster the b-tagging algorithm based on secondary-vertex reconstruction is described. We present Monte Carlo based performance studies of the algorithm for charged jets reconstructed with ALICE tracking system. The tagging efficiency, rejection rate and the correction of the smearing effects of non-ideal detector response are presented. Finally, the performance expected for LHC Run 2 is briefly discussed.