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 (the 'team') is a unit within Corporate Credit and Market Risk 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 (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 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).
Model implementation and production is an integral part of effective model risk management process. This position will focus on leading the implementation of credit models in support of the Corporate and Regulatory Stress Tests, Current Expected Credit Loss (CECL), and Business Loss Forecast (BLF) processes for the consumer unsecured credit portfolios, including Consumer Financial Services (credit cards), Retail Services (retail cards), Personal Lending Group (student loans and personal loans and lines), and Small Business Lending. This position joins a high functioning, high profile team and requires strong SAS / SQL / Python coding skills, documentation capabilities that can effectively convey complex processes, and the presence and professional demeanor necessary to interact effectively with team members across the Company. The candidate must demonstrate strong SAS / SQL coding and data analysis skills, ability to understand complex loss forecasting models, possess organizational and prioritization skills, as well as strong attention to detail. In addition, as CaPM is transitioning into Python, having prior Python or R coding experience would be a plus. This role is highly dynamic and will require critical thinking and a tactical approach to problem solving and production design. The candidate must have demonstrated experience in working with modelers, production owners, and model governance to develop efficient model production engines in a process controlled environment. The candidate will also help design, enhance, and implement a comprehensive model monitoring and production process for CECL, BLF, and CCAR. Given the nature of the model implementation and production schedule, this role is expected to sometimes work nights or weekends and needs to be reached during the CECL, BLF, CCAR production time.
The responsibilities of this position will include, but not be limited to, the following:
Lead execution of complex stress test and CECL / BLF production environments working with large data sets, advanced statistical models, and SAS / other coding to effectively and efficiently execute models for purposes including CCAR, CECL, BLF, and model performance monitoring
Serve as a liaison with business partners, including data teams, production teams, and end users to ensure accurate model implementation, provide support on model execution, and create consistent processes for reporting results
Develop and maintain strong controls and documentation for model production
Coherently support analysis for business partners, audit, and regulatory agencies
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
Excellent verbal, written, and interpersonal communication skills
Extensive knowledge and understanding of research and analysis
Strong analytical skills with high attention to detail and accuracy
Other Desired Qualifications
Demonstrated experience in advanced SAS / SQL coding, model implementation, model production and reporting. Having prior Python coding experience is a plus.
Demonstrated experience in working with internal and external auditors
Demonstrated experience in working with partners across different functional teams (i.e. modeling manager, production manager, governance manager, etc)
Ability to understand complex statistical model framework, model monitoring and analytical reporting
Ability to design and structure data pulling process in an efficient and comprehensive manner
Ability to transform data pulling code (from modelers) to an easy-to-understand fashion and structure the output data in such a way that can be used for multiple downstream processes (i.e. forecast / backtest results, KPI monitoring, etc.)
Attention to detail and strong troubleshooting skills
Excellent at exercising independent judgment
Excellent verbal communication, written documentation and presentation skills
Excellent interpersonal skills
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.
Internal Number: 5549659-2
About Wells Fargo
Wells Fargo & Company (NYSE: WFC) is a diversified, community-based financial services company with $1.9 trillion in assets. Wells Fargo’s vision is to satisfy our customers’ financial needs and help them succeed financially. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides banking, investment and mortgage products and services, as well as consumer and commercial finance, through 7,400 locations, more than 13,000 ATMs, the internet (wellsfargo.com) and mobile banking, and has offices in 32 countries and territories to support customers who conduct business in the global economy. With approximately 260,000 team members, Wells Fargo serves one in three households in the United States. Wells Fargo & Company was ranked No. 29 on Fortune’s 2019 rankings of America’s largest corporations. News, insights and perspectives from Wells Fargo are also available at Wells Fargo Stories.
www.wellsfargo.com | Twitter: @WellsFargo