Summary: Lead development and enhancement of analytical and behavioral modeling capabilities to power bank-wide forecasting of customer/account analytics, behavioral modeling, statistical forecasting, and model validation. Key Skills: • Advanced SQL and Python/R programming • Statistical and econometric analysis • Behavioral analytics, segmentation, regression, time series, predictive modeling • Survival/cohort analysis • Data visualization • Strong business translation skills Responsibilities: • Design and implement segmentation methods and analytics to improve deposit forecasting for decay/runoff, attrition, migration, beta, and elasticity methodologies • Develop behavioral and response models for consumer lending and card portfolios, including inputs for utilization, attrition/prepayment, and predictive analytics • Diagnose underlying business performance drivers, statistically explain changes and trends • Provide empirical assumptions and models for sensitivity, base, and stress scenario planning • Integrate behavioral modeling with financial outcomes for business decision support • Manipulate customer/account-level data, conduct feature engineering, data quality assurance, and build analytical datasets • Lead modeling methodology, validation, back testing, and statistical diagnostics as part of model governance • Collaborate with teams across Forecasting, Product, Data/Technology, Finance, Treasury, and Model Risk/Validation Ideal Background: • 7+ years in banking decision science, quantitative analytics, econometrics, data science, or advanced financial analytics • Demonstrated track record in statistical modeling, forecasting, and business translation