Lead Risk Analytics Consultant, Card New Account Forecasting
About the position
About this role: Wells Fargo is seeking a Lead Risk Analytics Consultant to support the Credit Card organization with New Account Forecasting and quantifying the new account origination impacts in terms of marketing budgets, activation bounties, and corresponding calendarized P&L impacts. In this role, you will serve as a key analytical partner, ensuring the accuracy, integrity, and insightfulness of the data and processes that drive our monthly and quarterly forecasts. You will investigate performance drivers, assess variances, and deliver clear, actionable insights to Product, Marketing, and Finance partners. Learn more about the career areas and business divisions at wellsfargojobs.com. In this role, you will: Provide end to end data support required for the monthly New Account Forecasting process Conduct detailed analyses of New Account actuals vs. forecast, identifying root causes and performance trends Develop and present campaign recommendations to Product & Marketing teams Maintain a strong controlled environment, ensuring compliance and documentation standards are met Partnering closely with Product, Marketing, Campaign Execution, Risk to deliver accurate forecasts, operational excellence, and optimized customer acquisition performance.
Responsibilities
• Provide end to end data support required for the monthly New Account Forecasting process
• Conduct detailed analyses of New Account actuals vs. forecast, identifying root causes and performance trends
• Develop and present campaign recommendations to Product & Marketing teams
• Maintain a strong controlled environment, ensuring compliance and documentation standards are met
• Partnering closely with Product, Marketing, Campaign Execution, Risk to deliver accurate forecasts, operational excellence, and optimized customer acquisition performance.
Requirements
• 5+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Nice-to-haves
• Experience applying both qualitative and quantitative analytical methodologies, with a strong foundation in statistics, economics, or financial valuation
• Experience working with consumer lending data and analytics within the credit card industry
• Experience supporting or owning forecasting processes (preferably monthly/quarterly operational or financial forecasts)
• Experience conducting variance analysis, root-cause investigation, and performance decomposition
• Strong SQL, SAS, and Python skills for extracting and validating data, troubleshooting data integrity issues, and supporting end‑to-end forecasting processes
• Familiarity with forecasting models and model governance expectations
• Experience identifying, diagnosing, and resolving data quality or data integrity issues across complex data environments
• Bachelor’s or Master’s degree in a quantitative or technical field
• Proven ability to manage recurring analytical processes independently, ensuring accuracy and timeliness
• Experience translating and summarizing complex data and technical concepts into understandable, actionable information and recommendations to executive level audiences
• Experience operating within a highly controlled analytics environment, ensuring documentation accuracy, audit readiness, data lineage clarity, and adherence to model governance and regulatory expectations
• Excellent analytical and problem-solving skills, including strong ability to effectively evaluate and prioritize work
Apply tot his job
Apply To this Job
About this role: Wells Fargo is seeking a Lead Risk Analytics Consultant to support the Credit Card organization with New Account Forecasting and quantifying the new account origination impacts in terms of marketing budgets, activation bounties, and corresponding calendarized P&L impacts. In this role, you will serve as a key analytical partner, ensuring the accuracy, integrity, and insightfulness of the data and processes that drive our monthly and quarterly forecasts. You will investigate performance drivers, assess variances, and deliver clear, actionable insights to Product, Marketing, and Finance partners. Learn more about the career areas and business divisions at wellsfargojobs.com. In this role, you will: Provide end to end data support required for the monthly New Account Forecasting process Conduct detailed analyses of New Account actuals vs. forecast, identifying root causes and performance trends Develop and present campaign recommendations to Product & Marketing teams Maintain a strong controlled environment, ensuring compliance and documentation standards are met Partnering closely with Product, Marketing, Campaign Execution, Risk to deliver accurate forecasts, operational excellence, and optimized customer acquisition performance.
Responsibilities
• Provide end to end data support required for the monthly New Account Forecasting process
• Conduct detailed analyses of New Account actuals vs. forecast, identifying root causes and performance trends
• Develop and present campaign recommendations to Product & Marketing teams
• Maintain a strong controlled environment, ensuring compliance and documentation standards are met
• Partnering closely with Product, Marketing, Campaign Execution, Risk to deliver accurate forecasts, operational excellence, and optimized customer acquisition performance.
Requirements
• 5+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Nice-to-haves
• Experience applying both qualitative and quantitative analytical methodologies, with a strong foundation in statistics, economics, or financial valuation
• Experience working with consumer lending data and analytics within the credit card industry
• Experience supporting or owning forecasting processes (preferably monthly/quarterly operational or financial forecasts)
• Experience conducting variance analysis, root-cause investigation, and performance decomposition
• Strong SQL, SAS, and Python skills for extracting and validating data, troubleshooting data integrity issues, and supporting end‑to-end forecasting processes
• Familiarity with forecasting models and model governance expectations
• Experience identifying, diagnosing, and resolving data quality or data integrity issues across complex data environments
• Bachelor’s or Master’s degree in a quantitative or technical field
• Proven ability to manage recurring analytical processes independently, ensuring accuracy and timeliness
• Experience translating and summarizing complex data and technical concepts into understandable, actionable information and recommendations to executive level audiences
• Experience operating within a highly controlled analytics environment, ensuring documentation accuracy, audit readiness, data lineage clarity, and adherence to model governance and regulatory expectations
• Excellent analytical and problem-solving skills, including strong ability to effectively evaluate and prioritize work
Apply tot his job
Apply To this Job