Product Forecasting Analytics & Decision Science

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