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Hours Full-time, Part-time
Location Raleigh, North Carolina

About this job

Job Title:

Credit Risk Analytics Cons 2

Job ID Number:

5091327

Schedule Type:

Reg-Time

Work Hours:

40

Location:

Raleigh,NC

Qualifications:

Wells Fargo's Consumer Lending Group (CLG) is an industry leader in supporting homeowners and consumers. We put customers at the center of all that we do. We make every decision - and design every product and service - with our customers in mind.

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 CLG team includes Home Lending, Consumer Credit Card, Personal Loans and Lines, Direct Auto, Dealer Services, Commercial Auto, Retail Services and Education Financial Services including the professional services teams that partner with these businesses - Human Resources, Finance, Credit Risk, and Compliance & Operational Risk.

Join the #1 Used Auto lender ( Source: Autocount )

Our Dealer Services Credit Risk Management team provides credit quality guidance and portfolio and operational risk management through education and collaborative customer relationships, by providing professional expertise and empirically-based tools that support strategies and decisions to enhance productivity.

The Credit Risk Analytics Consultant 2 we seek will be responsible for implementing, executing, and monitoring loss forecast models and performing other analyses to support ACL, BLF, and CCAR exercises of the Wells Fargo Dealer Services.

This team member will use statistic and quantitative techniques such as linear and logistic regression models, decision tree and data mining tools to identify primary drives for losses and to evaluate losses and associated trends. Additionally, this team member will perform ad hoc analyses as needed to respond to questions or requests from business owners, model validators or regulators.

Duties may include, but are not limited to:

Supporting loss forecast model implementation and production. This requires attention-to-detail as to ensure data is complete, accurate and properly formatted for process quality and integrity. Executing loss forecast models to create results, to compile and format the results in compliance with related procedures and policies, and to exercise required processes for quarterly submissions, stress tests, and model performance back-tests. Making decisions independently based on general guidelines to improve existing processes and programs as to adapt to new requirements from business partners or due to regulatory changes. Creating management reports and model performance monitoring reports. Researching and analyzing portfolios to understanding of underline risks and portfolio mix changes, and provide analytical insights to questions from business partners and regulators. Creating and maintaining adequate and proper operation documents for recurring work to support internal and external audit. *All Wells Fargo Dealer Services locations in proximity to a major US Airport may be considered.*

5+ years risk reporting or analytics experience. Bachelor’s degree in Applied Mathematics, Statistics, Finance, Economics, Engineering, or other statistical related with 5+ years’ work experience in quantitative discipline fields. Strong SAS programming expertise in model implementation and reporting. Experience working with large datasets and performing complex data manipulations in SAS. Ability to work independently, to deliver quality results, and to manage projects to meet deadlines. Demonstrated strong analytical/quantitative problem solving skills. Demonstrate ability to work well in team environment, independently and across organizational boundaries. Strong verbal and written communication skills. Ability to manage multiple tasks and deadlines in an effective manner. Master’s degree in a quantitative discipline. SQL knowledge. Experience using SAS macros and ODS.