About This Role
Wells Fargo is seeking a Senior Quantitative Model Solutions Specialist for the Unsecured / Small Business Retail team.
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
- 4+ 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
- Bachelor's degree from a premier institute or Masters/PhD degree in quantitative fields such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences
- 4+ 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 (Home Lending, Auto, Cards, Personal 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 Retail 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 Retail 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 retail 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.
Reference Number
R-530053
