Quantitative Analytics Consultant 1

Wells Fargo & Company (NYSE: WFC) is a diversified, community-based financial services company. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides banking, insurance, investments, mortgage, and consumer and commercial finance through our many locations, ATMs, the internet (wellsfargo.com) and mobile banking. To learn more, Wells Fargo perspectives are also available at Wells Fargo Blogs and Wells Fargo Stories.

It starts with you. We must attract, develop, retain, and motivate the most talented people – those who care and who work together as partners across business units and functions. We value and promote diversity and inclusion in every aspect of our business and at every level of our organization.

The Credit and PPNR Modeling (CAPM) Center of Excellence (CoE) resides within Corporate Credit and Market Risk and is responsible for development and implementation of the following models:

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

We are seeking a dynamic individual with experience in predictive modeling and data analysis to join the Commercial Modeling Team that is responsible for developing, documenting, and supporting Commercial portfolio in the following areas:

• Basel risk parameter quantification and results
• Loss forecast models and results

The duties of this position include:

• Develop and document models to estimate commercial portfolio Basel risk parameters for Wells Fargo, as well as, compare internal results against industry level performance.
• Develop and document models to forecast conditional credit losses and balance indicative of both Wells Fargo as well as industry level performance for commercial portfolio segments
• Develop and document various credit modeling and loss forecasting approaches
• Work closely with line of business partners to enhance the theory behind existing models and forecast, address data and model questions.
• Underlying commercial portfolio data research and analytics
• 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 support analysis to business partners, model validation, audit, and regulators
• Support ad hoc analytic projects

Required Qualifications

• 2+ years of experience in an advanced scientific or mathematical field
• A master’s degree or higher in a quantitative field such as mathematics, statistics, engineering, physics, economics, or computer science

Desired Qualifications

• A PhD in a quantitative discipline
• An active Chartered Financial Analyst (CFA) designation
• Excellent verbal, written, and interpersonal communication skills

Other Desired Qualifications

• Sound understanding of credit portfolio modeling including a strong understanding of modeling techniques like generalized linear models, logistic regression, hazard models, time series models, and Monte Carlo simulation.
• Strong experience in Basel model development environment, Comprehensive Capital Analysis and Review (CCAR) for loss forecasting purposes.
• Ability to articulate the strengths and weaknesses of various predictive modeling techniques and have a strong understanding of statistical testing necessary to assess model performance.
• Knowledge of either Commercial or Retail Banking credit and deposit products
• Strong programming, large scale data querying and analysis skills
• Advanced SAS programming and SQL experience
• Experience implementing and coding large and complex models
• Demonstrated ability in the following: Detail oriented, results driven, and have the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities
• Prior knowledge or experience in balance sheet modeling and Pre-Provision Net Revenue (PPNR) modeling will be a plus towards the position.

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.