Description: Academic Qualifications: * Bachelor's degree completed in Statistics, Mathematics, Engineering, Computer Science, Economics, or related fields. Business Knowledge: * Experience in banks, financial institutions, or payment processors. * Knowledge of retail/mass-market banking products, such as credit cards, loans, financing, consortia, and insurance. Tools: * Proficiency and in-depth knowledge of SQL and Python for data manipulation, extraction, and transformation of large volumes of data into actionable insights. * Experience in data modeling applied to CRM and marketing (scoring, propensity, segmentation). * Experience conducting analytical studies and A/B testing. * Proficiency with data visualization tools (Power BI, Databricks). * Preferred: Experience with PySpark modeling. Behavioral Competencies: * Ownership mindset: Strong sense of responsibility and autonomy to lead projects from inception to completion, maximizing business impact. * Growth focus: Passion for rapid experimentation, continuous learning, and discovering new data-driven growth levers. * Analytical thinking and strategic vision: Ability to go beyond the numbers, identifying critical insights and articulating clear business strategies. * Power generation: Ability to communicate complex results and ideas simply and persuasively, influencing business decisions at all levels. * Predictive Modeling and Segmentation: Build, validate, and deploy propensity models and segmentation strategies (e.g., LTV, churn propensity) to ensure precise targeting of initiatives, maximizing product conversion and customer loyalty to the bank. * Experimentation Cycle: Design, execute, and measure A/B tests to optimize workflows, messaging, and offers—rapidly identifying what delivers the greatest business impact. * Data-Driven Strategy: Develop CRM strategies ensuring modeling is leveraged to enhance acquisition, activation, retention, and upsell/cross-sell of banking products (credit cards, loans, insurance, etc.). * Performance Analysis and Discovery: Conduct in-depth analyses to identify bottlenecks and optimization opportunities across customer journeys. Measure outcomes (conversion, engagement, and efficiency KPIs) and translate performance into actionable insights. * High-Impact Communication: Prepare executive presentations that transform data complexity into a clear narrative on what worked and the next strategic move to drive business unit results at the bank. 2512160202201868233