High-impact challenges: Each model developed directly influences credit granting and provision levels (PDD), being essential for excellence in risk management;
High-exposure, collaborative environment: working within and outside the Credit Risk and Wholesale Modeling Directorate, with strategic partnerships across technology and model validation teams;
Focus on innovation and precision: We use advanced methodologies and continuously seek to improve our models to ensure more accurate and sustainable decisions;
Influence on business drivers: Modeled parameters are critical inputs for commercial and risk strategies, directly impacting the bank's performance;
Develop statistical and predictive models;
Conduct exploratory data studies and analyses;
Map, review, and document models and modeling processes.

Education: Completed Master's degree in Statistics, Economics, Mathematics, or related fields;
Competencies: Ownership mindset, strong analytical ability, written communication, verbal communication, risk management, motivation to learn new things, organization, passion for challenges, logical reasoning, resilience, flexibility, and critical thinking;
Language: Advanced English;
Technology: Excel, SQL, SAS, Python;
Technical Skills: Mathematical modeling, credit analysis, data manipulation and preprocessing.

Data Modeling Analyst, Senior

Key skills