Quantitative Analytic Specialist 1 - Full-time / Part-time

Important Note: During the application process, ensure your contact information (email and phone number) is up to date and upload your current resume when submitting your application for consideration. To participate in some selection activities you will need to respond to an invitation. The invitation can be sent by both email and text message.  In order to receive text message invitations, your profile must include a mobile phone number designated as “Personal Cell” or “Cellular” in the contact information of your application.

At Wells Fargo, we want to satisfy our customers’ financial needs and help them succeed financially. We’re looking for talented people who will put our customers at the center of everything we do. Join our diverse and inclusive team where you’ll feel valued and inspired to contribute your unique skills and experience.

Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.

Corporate Risk helps all Wells Fargo businesses identify and manage risk. The team focuses on several key risk types, including conduct, credit, financial crimes, information security, interest rate, liquidity, market, model, operational, regulatory compliance, reputation, strategic, and technology risk.

The group provides leadership, enhances communications, assists with problem identification and solutions, and shares best practices. In addition, the group provides an enterprise-wide view of risk, assists management and our Board of Directors in identifying and monitoring risks that may affect multiple lines of business, and takes appropriate action when business activities exceed the risk tolerance of the company.

The Credit and PPNR (CaPM) Model Development Team (the “team”) is a unit within Corporate Credit and is responsible for model development and implementation of the following model types: 

I. Pre-Provision Net Revenue (PPNR) estimates, including forecasting models, to support stress-testing under the Comprehensive Capital Analysis and Reporting exercises (CCAR) and nine-quarter business forecasting. 
II. Credit loss estimation models for the entire loan portfolio to support allowance for credit loss (including current expected credit loss preparation); estimation of risk weighted assets (RWA) in compliance with BASEL regulations; and, economically sensitive credit loss estimation in compliance stress-testing for the Comprehensive Capital Analysis and Reporting exercises (CCAR).

The team is seeking a dynamic individual with experience in predictive modeling and data analysis to join the model development team focusing on PPNR model development for non-interest income and expense forecasting.  The team is responsible for developing, documenting and supporting models and results. 

The duties of this position will include, but not be limited to the following:

• Developing non-interest income and expense forecasting models
• Integration of forecasts with existing balance forecasting models and stress testing processes
• Create long-form and presentation documents to explain the model results to both technical and non-technical audiences
• Develop and document models to forecast conditional results indicative of both Wells Fargo and industry level performance
• Work closely with line of business partners to develop and enhance the theory and business logic behind the models and forecasts; address data and model questions from our partners, model validation, and regulators.
• Data research to facilitate modeling and analysis
• Adhere to model validation governance to ensure models are in compliance with policy and are working as intended, address model validation and regulatory feedback issues
• Coherently articulate analysis results to business partners, model validation, audit and regulators
• Support ad hoc analytic projects

Open to any Wells Fargo Hub Location for the right candidate.

• A Master s degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or quantitative field

• A PhD in a quantitative discipline
• Excellent verbal, written, and interpersonal communication skills
• SAS experience
• SQL experience
• Python experience
• Strong analytical skills with high attention to detail and accuracy
• Ability to execute in a fast paced, high demand, environment while balancing multiple priorities

• Knowledge of time-series regression and forecasting models
• Experience implementing and coding large and complex models
• Knowledge of bank products across consumer, wholesale, and trust and investment
• A willingness to work take a lead role on projects, while functioning effectively as part of a team. 
• An understanding of the importance of, and the ability to manage to, deadlines in an environment where there are multiple dependencies on the outcome of one’s work is essential
• Understanding of bank regulatory data sets and other industry data sources
• Knowledge and understanding of full model lifecycle

The salary range displayed below is based on a Full-time 40 hour a week schedule.

NC-Charlotte: Min: $79,900 Mid: $112,500
MN-Minneapolis: Min: $79,900 Mid: $112,500
GA-Atlanta: Min: $79,900 Mid: $112,500

NC-Charlotte: 11625 N Community House Road - Charlotte, NC
MN-Minneapolis: 600 S 4th St - Minneapolis, MN
GA-Atlanta: 171 17th St Nw - Atlanta, GA

All offers for employment with Wells Fargo are contingent upon the candidate having successfully completed a criminal background check. Wells Fargo will consider qualified candidates with criminal histories in a manner consistent with the requirements of applicable local, state and Federal law, including Section 19 of the Federal Deposit Insurance Act.



Relevant military experience is considered for veterans and transitioning service men and women.

Wells Fargo is an Affirmative Action and Equal Opportunity Employer, Minority/Female/Disabled/Veteran/Gender Identity/Sexual Orientation.