About Wells Fargo
Wells Fargo & Company (NYSE : WFC) is a diversified, community-based financial services company with $2.0 trillion in assets.
Founded in 1852 and headquartered in San Francisco, Wells Fargo provides banking, insurance, investments, mortgage, and consumer and commercial finance through more than 8,500 locations, 13,000 ATMs, the internet (wellsfargo.
com) and mobile banking, and has offices in 42 countries and territories to support customers who conduct business in the global economy.
With approximately 273,000 team members, Wells Fargo serves one in three households in the United States. Wells Fargo & Company was ranked No.
25 on Fortune’s 2017 rankings of America’s largest corporations. Wells Fargo’s vision is to satisfy our customers’ financial needs and help them succeed financially.
News, insights and perspectives from Wells Fargo are also available at Wells Fargo Stories.
The Small Business Lending team is an innovative and dynamic business unit that has led Wells Fargo to become the USA’s leading small business lender.
Small Business Lending Operations consists of over 700 team members located in Phoenix, Charlotte and Manila supporting all the various Small Business Lending loan products and all segments of the credit life cycle including sales, underwriting, fulfillment, customer service, collections, recoveries, operations risk, analytics and more.
About the Role
We are looking for a strong analytical professional who can help our AIS team move our analytics and business intelligence to the next level.
Analytic Consultant is a business partner facing role and will be on the leading edge of analytics / BI technology and has a perpetual interest in learning and applying new things.
The person will help lead an ongoing analytics transformation from table-based reports that tell history to analysis that provides deeper insight and predicts or prescribes more efficient and effective directions for loan processing operations and call centers.
This includes : understanding customer preferences and behaviors, identifying process bottlenecks and applying constraint-
based optimization, identifying and describing the causes of changes in process and call center performance, create models that predict how volume, costs, and staffing will change based upon different scenarios, and identifying ways to help employees perform at their best level.
Market Skills and Certifications
structured text or Excel files
Ability to conduct data mining activities and distill output into business insightsPresent findings to multiple levels of managementAnalyze performance of existing excel forecasting models along with driver analysis Identify opportunities to enhance the forecasting models using SAS (or other statistical modelling tool / language) and build the models