Credit Risk Analytics Consultant 4 in Atlanta, Georgia | DiversityInc Careers
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Credit Risk Analytics Consultant 4

Job Description

At Wells Fargo, we have one goal: to satisfy our customers’ financial needs and help them achieve their dreams. 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. We focus on three key risk areas: credit risk, operational risk and market risk. We help our management and Board of Directors identify and monitor risks that may affect multiple lines of business, and take appropriate action when business activities exceed the risk tolerance of the company.

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

  1. Credit loss estimation models for the entire loan portfolio to support Allowance for Credit Loss (ACL), including preparations for 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).
  2. Models to support Pre-Provision Net Revenue (PPNR) estimates including forecasting models to support Dodd Frank and the Comprehensive Capital Analysis and Review exercises (CCAR).

The team is seeking a Credit Risk Analytics Consultant to focus on leading the implementation and execution of Credit and PPNR models in support of the Corporate and Regulatory (CCAR/DFAST) Stress Tests and Business Forecasting.

This position resides within CaPM Model Implementation and Production team and will work closely with business partners on the implementation of models for production and to support model execution, performance monitoring, and reporting. Supported PPNR model types include balance/deposit models, fee income & expense models, and others. This position joins a high functioning, high profile team and requires strong SAS/SQL programming and data analysis skills; ability to understand complex loss and PPNR 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 position include the following:

  • Leading development of complex CCAR, and/or PPNR implementation environments working with large data sets, advanced statistical models, and SAS/other coding (e.g. Python) to effectively and efficiently execute models for purposes including Annual Stress Tests/CCAR, Business Forecasting, and model performance monitoring
  • Establishing strong controls and creating consistent and robust execution processes across models
  • Developing analytics around model results for enhancing forecast performance
  • Understanding the trends within loan portfolios, their impact on model performance, and quantifying the risks not captured by models via management adjustments
  • Maintaining documentation for key implementation processes across the team with focus on standardization of implementation and execution controls

Required Qualifications

  • 7+ years of risk reporting experience, risk analytics experience, or a combination of both
  • 3+ years of leadership experience

Desired Qualifications

  • Excellent verbal, written, and interpersonal communication skills
  • Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment
  • Ability to research and report on a variety of issues using problem solving skills
  • Ability to interact with integrity and a high level of professionalism with all levels of team members and management
  • Ability to make timely and independent judgment decisions while working in a fast-paced and results-driven environment
  • A BS/BA degree or higher

Other Desired Qualifications
  • Proficiency in model implementation and/or development of large and complex predictive models for forecasting credit or PPNR losses using SAS, SQL, Python, or other programming environment.
  • Understanding of predictive modeling techniques and a strong understanding of statistical testing necessary to assess model performance.
  • Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities.
  • A deep understanding of data and analytics across multiple product classes, systems, and organizations.
  • Demonstrated excellence at identifying stakeholders, understanding needs, and driving to resolution.
  • Demonstrated excellence at developing sound model execution or reporting processes, evaluating, and enhancing existing processes.
  • Knowledge of SR 11-7, SR15-18, BCBS 239 and other regulatory requirements on data and model usage/applications.
  • Experience with risk management of retail or commercial portfolios, product, and underwriting practices.
  • Experience creating documentation of code used for audit and/or training of other programmers
  • Experience with UNIX/LINUX environments


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.