Lead Analytics Consultant, Auto Pricing

What you'll do

• Develop and implement pricing loss estimation strategies to optimize portfolio profitability and measure returns on new originations.
• Analyze and validate statistical models using large-scale datasets to generate actionable financial and risk insights.
• Provide expert recommendations on credit loss assumptions, data modeling, and risk exposure assessments.
• Monitor auto portfolio performance to identify emerging trends, risks, and opportunities for improved forecasting accuracy.
• Translate complex analytical outputs into clear, actionable business recommendations for senior leadership using SAS and Python.
• Advise cross-functional partners in Risk, Finance, and Pricing on complex modeling initiatives and strategic objectives.
• Develop data-driven strategies to improve pricing accuracy while ensuring compliance with regulatory requirements.

What we're looking for

• 5+ years of analytics experience or equivalent demonstrated through work, training, military experience, or education.
• Experience with credit loss forecasting and pricing strategies within regulated financial services (preferred).
• Advanced analytical capability in SAS and Python to translate complex model outputs into executive insights (preferred).
• Proficiency with reporting tools such as Power BI or Tableau (preferred).
• Expertise in auto lending or financial services (preferred).
• Ability to operate effectively in a highly regulated environment while partnering with Risk, Finance, Audit, and Regulators (preferred).
• Understanding of statistical and advanced analytics techniques including hypothesis testing, regression analysis, and machine learning (preferred).
• Proficiency in data analysis tools and programming such as R, Python, SQL, and SAS (preferred).