Senior Quantitative Model Solutions Specialist

About this role:

Wells Fargo is seeking a Senior Quantitative Model Solutions Specialist

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 as Statistics/Economics/B.TECH
• 5+ years of experience Risk 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