In this role, you will:
- Participate in or help entry-level positions with low to moderately complex model maintenance and optimization initiatives related to operational processes, controls, reporting, testing, implementation, and documentation
- Analyze basic data sets, quantitative models, and model output to validate model efficiency and results in support of business opportunities
- Provide design thinking and best practices to resolve basic model optimization methodology and processes
- Present recommendations to leadership for resolving low to moderately complex situations by exercising independent judgment while developing expertise in quantitative model operations
- Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals
- Manage end to end model monitoring for specific line of business in retail portfolio.
- Coordinating the various activities related to business analysis and model monitoring.
- Participate in the development and testing of various analytical models for business unit.
- Develop methods to enhance the existing process to add efficiency, transparency and consistency while maintaining quality and responsiveness standards.
- Trouble-shoot issues and pro-actively enact solutions in real time.
Required Qualifications:
- 2+ years of quantitative 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 Qualification:
- 2+ years of experience in scorecard development, model monitoring, risk analytics experience, or a combination of both.
- Advanced degree in statistics, finance, math, engineering, or similar quantitative disciplines.
- Proficient in Python or R or SAS
- Bachelor’s degree in engineering in any field
- Proficient in Tableau, Power BI, or any of business intelligence tools
- Experience in producing high quality technical documentation with tools such as Excel. Word, and PowerPoint
- Excellent verbal and communication skills
- Advanced degree in statistics, finance, math, engineering or similar quantitative disciplines
- Good Python skills in performing complex data manipulation and modeling in Python
- Excellent analytical ability in interpreting data, analytical results to draw insights to develop credit scoring models and help business manage the credit risk effectively
- Familiarity with U.S based Bureau Data
- Excellent problem-solving skills and ability to connect dots, see big picture and find solutions and articulate in a clear manner
- Understanding of process, methodologies used in credit scoring model development, implementation, validation, and monitoring
- Ability to effectively manage multiple assignments with challenging timelines
- Experience in statistical modeling techniques
- Strong writing skills necessary for the review of highly detailed model documentation and reporting
- Flexibility and ability to thrive in a fast-paced, rapidly changing, highly complex environment
19 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.