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:
- Overall experience around 4+ years in credit risk modeling, model monitoring, implementation and production role
- Bachelor’s degree or higher in a quantitative fields such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences
- 4+ years of experience in credit risk analytics
- 4+ years of advanced programming expertise in Python, Power BI, Tableau and SAS
- Strong technical skills and problem solving skills
- 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
- Knowledge and understanding of issues or change management processes
- Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities
- Understanding of bank regulatory data sets and other industry data sources
Job Expectations:
- Lead and perform various complex activities related to modeling. Provide analytical support for developing, evaluating, implementing, monitoring and executing credit and PPNR models across commercial business vertical
- Lead large-scale projects. Develop, implement, execute and monitor credit ACL, CECL, IFRS9, Basel and CCAR models for commercial portfolios
- Lead data production and analytics for credit and balance model development monitoring and implementation
- Develop dynamic dashboards; analyze key risk parameters to help understand changes in business and model performance
- Develop frameworks for documentation of development, implementation and monitoring processes across the team with focus on standardization of controls
26 Mar 2025
Wells Fargo Recruitment and Hiring Requirements:
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.