In this role, you will:
- Lead or participate in moderately complex model maintenance and optimization initiatives related to operating processes, controls, reporting, testing, implementation, and documentation
- Review and analyze moderately complex data sets, quantitative models, and model outputs to validate model efficiency and results in support of business initiatives
- Advise and guide team on moderately complex model optimization and processes strategies
- Independently resolve moderately complex issues and lead team to meet project deliverables while leveraging solid understanding of policies and compliance requirements
- Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals
Required Qualifications:
- 4+ years of quantitative solutions engineering, model solutions or quantitative model operations experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
- Master's degree or higher in a quantitative field such asStatistics/Economics/B.TECH
- 5+ years of experienceRisk Analytics, or equivalent demonstrated through one or a combination of the following: work experience, education
- 5+ years of experience in credit risk modeling and analytics
- 5+ years of advanced programming expertise in SAS or Python or R
- Strong documentation capabilities
- Strong project management skills with ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment
- Excellent verbal, written, and interpersonal communication skills
- Strong ability to develop partnerships and collaborate with other business and functional areas
- Excellent verbal, written, and interpersonal communication skills.
- Perform various complex activities related to predictive modeling.
- Provide analytical support for development, remediation, and monitoring of loss forecasting and PPNR models
- Support development, implementation, execution and monitoring of Regulatory models such as Basel, CECL, and CCAR models
- Develop dynamic dashboards; analyze key risk parameters to help understand changes in business and model performance
- Identify opportunities and deliver process improvements, standardization, rationalization and automations. Enhance and standardize performance analysis, reporting packages and business loss forecast processes
- Maintain documentation for development, implementation and monitoring of processes across the team with focus on standardization of controls
- Ability to identify and manage complex issues and negotiate solutions within a geographically dispersed organization
19 Sep 2025
Wells Fargo Recruitment and Hiring Requirements:
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.