Senior Lead Quantitative Analytics Specialist -- Auto Finance

About this role: Wells Fargo is seeking a Sr. Lead Quantitative Analytics Specialist to perform model development in areas such as collections or pricing in the Auto Finance sector. Why Wells Fargo: Are you looking for more? Find it here. At Wells Fargo, we're more than a financial services leader – we’re a global trailblazer committed to driving innovation, empowering communities, and helping our customers succeed. We believe that a meaningful career is much more than just a job – it’s about finding all of the elements to help you thrive, in one place. Living the Well Life means you’re supported in life, not just work. It means having robust benefits, competitive compensation, and programs designed to help you find work-life balance and well-being. You’ll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. And we’re recognized for it – Wells Fargo once again ranked in the top five on the 2026 LinkedIn Top Companies list of best workplaces “to grow your career” in the U.S . Join us! In this role, you will: Lead the development, implementation, and documentation of complex statistical, predictive, and machine learning models. Develop quantitative solutions to assess risk, forecast losses, optimize pricing, and improve portfolio performance. Provide expert guidance to senior leaders on complex quantitative analytics initiatives and business challenges. Drive innovative modeling strategies that support both near-term business objectives and long-term growth. Serve as a subject matter expert in quantitative methodologies, predictive analytics, and machine learning techniques. Partner with business, risk, model governance, and validation teams to ensure effective model implementation and oversight. Support model governance activities, including documentation, monitoring, validation, and regulatory compliance. Present analytical insights and recommendations to senior leadership and key stakeholders. Collaborate with internal audit, model risk management, compliance, and regulatory partners.

7+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Bachelor's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science Desired Qualifications: Advanced degree (Master's or Ph.D.) in a quantitative discipline. Experience developing pricing, collections, credit risk, or fraud models within the Auto Finance industry. Advanced SAS, Python or equivalent programming experience Strong knowledge of predictive analytics, machine learning, and statistical modeling techniques. Experience developing complex, segmented models within a team environment. Experience with model governance, validation processes, and regulatory expectations. Experience developing and implementing predictive, statistical, or machine learning models within financial services. Proven ability to influence senior stakeholders and translate complex analytical findings into actionable business recommendations. Job Expectations: Willingness to work on-site at one of the stated locations on the job opening. This position offers a hybrid work schedule. Relocation assistance is not available for this position. Posting Locations: Irving, TX - 401 Las Colinas Blvd. Charlotte, NC - 550 S. Tryon St. Posting End Date:   9 Sep 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, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships