Senior Quantitative Model Solutions Specialist

Job description

**About This Role** Wells Fargo is seeking a Senior Quantitative Model Solutions Specialist. **In This Role, You Will** - Perform highly complex activities related to creation, implementation, and documentation - Use highly complex statistical theory to quantify, analyze and manage markets - Forecast losses and compute capital requirements providing insights, regarding a wide array of business initiatives - Utilize structured securities and provide expertise on theory and mathematics behind the data - Manage market, credit, and operational risks to forecast losses and compute capital requirements - Participate in the discussion related to analytical strategies, modeling and forecasting methods - Identify structure to influence global assessments, inclusive of technical, audit and market perspectives - Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills **Required Qualifications:** - 4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education - Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science **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. - 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 **Posting End Date:** 22 Jun 2026 - Job posting may come down early due to volume of applicants. **We Value Equal Opportunity** Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, r