Lead Quantitative Model Solutions Specialist

About this role:

Wells Fargo is seeking a Lead Quantitative Model Solutions Specialist for the Unsecured / Small Business Retail team.

In this role, you will:

• Lead complex, large-scale model maintenance, optimization, and planning initiatives related to operational processes, controls, reporting, testing, implementation, and documentation
• Review and analyze complex multi-faceted model operations and optimization challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors
• Develop model processes and optimization strategies for short- and long-term objectives; support and provide insights regarding a wide array of business initiatives
• Make decisions in complex and multi-faceted situations requiring solid understanding of agile development
• Influence global assessment of model maintenance schedules inclusive of engineering, structure, and scope of review following the System Development Life Cycle process, quality, security, and compliance requirements
• Strategically collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals

Required Qualifications:

• 5+ 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 Qualifications:

• 5+ 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

• Bachelors degree from a premier institute or Masters/PhD degree in quantitative fields such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences
• 5+ years of experience in credit risk analytics or credit risk modeling/monitoring/implementation roles
• Advanced programming skills in Python, SAS and SQL
• Good exposure to business intelligence tools such as Tableau/PowerBI for dashboarding
• 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
• Experience in regulatory models for CCAR Stress testing, CECL, IFRS9, RRP, and Basel
• Strong understanding of Retail business (Auto Loans)
• Comprehensive view of the regulatory requirements
• Ability to systematically probe, research, identify and analyze business problems using problem solving skills
• Ability to lead high performing advanced quantitative analytics teams and stakeholder management
• 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
• Flexibility with changing priorities
• Knowledge of SR 15-18 and SR 11-7 guidelines

Job Expectations:

• Provide analytical expertise in Credit Risk model monitoring, implementation, and execution for Auto Loans portfolios, with primary responsibility for technical tasks and deliverables.
• Collaborate with stakeholders across multiple engagements to support team objectives and ensure successful project outcomes.
• Play a key role in projects related to implementation, execution, and monitoring of CECL, IFRS9, Basel, and CCAR stress testing models for Auto Loans portfolios.
• Lead and perform complex activities related to predictive modeling; deliver analytical support for developing, evaluating, implementing, monitoring, and executing credit and PPNR models across Auto business verticals.
• Design and develop dynamic dashboards; analyze key risk parameters to interpret trends and assess business and model performance.
• Take initiative in identifying opportunities for process improvement, standardization, automation, and infrastructure enhancement; contribute to the design and delivery of solutions to optimize performance analysis, reporting, and business loss forecasting processes.
• Participate in developing documentation frameworks focused on standardization of controls and best practices for model development, implementation, and monitoring.
• Communicate findings, insights, and recommendations for action to management and business partners; contribute to discussions on strategy, policies, and procedures regarding model development, validation, and execution.
• Serve as a subject matter expert in predictive analytics and credit risk modeling, providing guidance and consultation on model development, implementation, model performance analysis, and execution.
• Demonstrate advanced project management, coding, and data analysis skills to ensure timely and high-quality execution of team deliverables.