Product Forecasting Analytics & Decision Science

First Horizon Corp.; Memphis (TN); On-site; USD 120,000 - 150,000; Full time

Job summary

First Horizon Corp. is seeking a senior Data Science professional to lead development and enhancement of analytical and behavioral modeling capabilities for bank-wide forecasting of customer and account analytics, behavioral modeling, statistical forecasting, and model validation.

You will design segmentation, develop behavioral and response models for consumer lending and card portfolios, diagnose drivers of performance, and support decision-making through empirical assumptions and stress

Qualifications

• 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

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

Skills

Advanced SQL

Python/R programming

Statistical analysis

Econometrics

Behavioral analytics

Segmentation

Regression

Time series

Predictive modeling

Data visualization

Business translation

Job description

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