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Commercial Credit/PPNR Model Analytics (Analytic Consultant 5)

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Job ID 5552558
Job Description

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 Modeling (CaPM) Team is a unit within the Corporate Credit Risk group and is responsible for model development and implementation of the following model types:

  • Credit loss estimation models for the entire loan portfolio to support Allowance for Credit Loss (ACL), including Current Expected Credit Loss (CECL); estimation of risk weighted assets (RWA) in compliance with Basel regulations; and, economically sensitive credit loss estimation in compliance with Dodd Frank and the Comprehensive Capital Analysis and Review exercises (CCAR)
  • Models to support Pre-Provision Net Revenue (PPNR) estimates including forecasting models to support Dodd Frank and CCAR

The team is seeking an Analytic Consultant 5 to focus on implementation, execution, and analytics of models for Commercial portfolios to support stress testing (CCAR/DFAST), allowance calculation (CECL and IFRS9), and business loss forecasting.
 
This position joins a high functioning, high profile team and requires strong programming and analytics skills; ability to understand loss forecasting models; possess organizational and prioritization skills; as well as strong attention to detail. This role is highly dynamic and will require critical thinking and a tactical approach to problem solving.

The responsibilities of this role include the following:

  • Implementation of complex CCAR, CECL/IFRS9 modeling environments working with large data sets, advanced statistical models, and SAS/other coding to effectively and efficiently execute models for purposes including stress testing, allowance calculations, and loss forecasting
  • Developing analytics around model results for enhancing forecast performance
  • Coherently supporting analyses to a variety of audiences, including end users, management, regulators, and review groups
  • Establishing strong controls and creating consistent and robust execution processes across models
  • Maintaining documentation for key implementation processes across the team with focus on standardization of implementation and execution controls


Required Qualifications

  • 8+ years of experience in one or a combination of the following: reporting, analytics, or modeling demonstrated through work or military experience; or a Masters degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis and 5+ years of experience in one or a combination of the following: reporting, analytics, or modeling



Desired Qualifications

  • Extensive knowledge and understanding of research and analysis
  • Strong analytical skills with high attention to detail and accuracy
  • Excellent verbal, written, and interpersonal communication skills
  • Ability to identify and manage complex issues and negotiate solutions within a geographically dispersed organization
  • Ability to interact with integrity and a high level of professionalism with all levels of team members and management



Other Desired Qualifications
  • Experience with data and analytics across multiple product classes, systems, and organizations
  • Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities
  • Experience with UNIX/LINUX environments
  • Experience with Python programming
  • Expertise in SQL and SAS programming




Street Address

NC-Charlotte: 11625 N Community House Road - Charlotte, NC
MN-Minneapolis: 600 S 4th St - Minneapolis, MN
IA-West Des Moines: 7001 Westown Pkwy - West Des Moines, IA



Disclaimer


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.

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