Aleksandr Dylev

Analysis and development of the scorecards: application, behavioral, fraud, collection, PTB; preparing analytical and statistical reports; big data analysis; working with credit bureaus data; composing multipurpose algorithms with SAS and SQL; ad-hoc reporting; extensive use of the probability theory and statistics

Debt collection strategic analysis; predicting and estimating potential level of refunding; developing algorithms for determining optimal collecting campaign launching periods; big data analysis; ad-hoc reporting; composing complex multipurpose algorithms with SAS and SQL

Development, improvement, optimization and automatization of fraud-detecting algorithms; suppression of fraudulent activities in the company with preventive/statistical analisys of potential losses in retail and implementation anti-fraud schemes; thorough analysis of financial and reputational risks relating to fraudulent activities in the company; monitoring of current losses; detecting new fraudulent schemes; consulting counterparts about risk-related questions; big data analysis.

Actuarial Statistics, Risk Modelling and Survival Analysis, Actuarial Mathematics, Financial Engineering and Loss Reserving, Business Finance

Probability Theory, Statistics, Stochastic Processes, Econometrics, Actuarial Mathematics, Derivatives, Linear Algebra, Analysis, Analytic Geometry, Differential Geometry