Core Responsibilities

The role involves conducting quantitative business analysis on delinquency, adoption, and profitability, segmented by cohorts and models to enhance the business. Responsibilities also include coordinating the backtesting of Machine Learning models and leading the design, launch, and analysis of A/B tests on user bases regarding credit offers.

Requirements

Candidates must hold a degree in Economics, Business Administration, Engineering, or Actuarial Sciences and possess at least two years of experience in retail credit risk or data analysis. Advanced proficiency in Excel, SQL, Teradata, and SAS is required, along with experience handling large data volumes and credit risk indicators.

Additional Information

Experience Level

2-5

Job Language

Spanish

Work Mode

On-site