Define credit origination strategies based on the analysis of the client’s payment profile and solvency, based on statistical and financial analysis.
Analytical professional training, career completed; advanced knowledge of some programming language (R, Python, SAS, etc) and excel; good management of power point and office.
Based on the risk and fraud models available, it will establish the conditions to accept / reject the granting of a loan, as well as the conditions of amount and interest rate. It will define, together with other Data Science, Product and Finance teams, experiments to optimize the strategies.
Initiative and lifelong learning, Capacity for planning and organization, Critical and analytical thinking, Cooperation and teamwork, Work under pressure.