Senior Lead Analytics Consultant - Auto Pricing

Wells FargoIrving, TX
Hybrid

About The Position

Wells Fargo is seeking a Sr. Lead Analytics Consultant for pricing loss estimation within Wells Fargo Auto. This role will lead the strategy, development, validation, and implementation of loss assumptions that directly influence pricing decisions across all originations. The position will leverage advanced analytics and portfolio insights to drive loss estimation accuracy, optimize portfolio profitability, and shape business and pricing strategies. The individual will serve as a key thought leader and trusted advisor to cross-functional partners and senior leaders, providing recommendations that balance growth, profitability, risk objectives and regulatory compliance.

Requirements

  • 7+ years of Analytics, Reporting, Financial Modeling or Statistics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Nice To Haves

  • 7+ years of experience in analytical work, including framing problems, conducting analysis, synthesizing insights, and influencing leadership decisions.
  • Expert in credit loss forecasting and pricing strategies within regulated financial services, including experience setting enterprise level assumptions that directly impact product pricing and profitability.
  • Expert analytical capability (e.g., SAS, Python) with the ability to translate complex model outputs into executive level insights and business decisions.
  • Expert in statistical and advanced analytics techniques, including hypothesis testing, regression analysis, and machine learning.
  • Strong financial acumen, including understanding of pricing P&L impact, margin trade-offs, and portfolio risk dynamics.
  • Strong proficiency in Tableau and Power BI with demonstrated experience building scalable dashboards, KPIs, scorecards, and data visualization solutions for business stakeholders.
  • Demonstrated ability to interpret customer and operational data, identify themes, and translate insights into clear business recommendations.
  • Experience in auto lending or financial services.
  • Proven ability to operate effectively in a highly regulated environment, partnering with Risk, Finance, Audit, and Regulators.
  • Expert analytical skills with a high attention to detail and data quality.

Responsibilities

  • Lead the development and implementation of pricing loss estimation strategies and recommendations that optimize portfolio profitability while measuring, monitoring and enhancing returns on new originations.
  • Lead highly complex analytical and modeling initiatives, including highly visible cross-functional programs with significant impacts across Pricing, Risk, Finance and Auto Lending operations.
  • Review, analyze and enhance sophisticated statistical models and programming solutions by leveraging large-scale data sets to generate actionable financial, risk and business insights that support strategic decision-making.
  • Make and influence decisions regarding highly complex pricing strategies, credit loss assumptions, data modeling, and risk exposure, requiring a deep understanding of business objectives, regulatory requirements, and compliance considerations.
  • Lead enterprise-wide monitoring and interpretation of Auto portfolio loss performance, proactively identifying emerging trends, risks, model limitations, and opportunities to improve forecasting accuracy.
  • Serve as a trusted advisor to senior leadership by providing strategic vision, thought leadership, and expert guidance on innovative analytical solutions that have enterprise-wide implications.
  • Apply deep expertise in credit risk, loss forecasting, and risk-based pricing within a highly regulated financial services environment, establishing loss assumptions that directly influence product pricing and profitability.
  • Translate highly complex analyses and statistical models into clear, actionable insights and strategic recommendations for senior leadership utilizing advanced analytical capabilities (e.g. SAS, Python).

Benefits

  • robust benefits
  • competitive compensation
  • programs designed to help you find work-life balance and well-being
  • rewarded for investing in your community
  • celebrated for being your authentic self
  • empowered to grow
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