Quantitative Analysis Lead - Auto Portfolio

Job Id: 173407Job Location: Mclean, VirginiaSecurity Clearance: No ClearanceBusiness Unit: Zachary PiperPosition Owner: Mac StephensZachary Piper Solutions is seeking an experienced Quantitative Analysis Lead to join a leading member-focused financial institution providing consumer banking, lending, credit card, and financial services to millions of members nationwide, with a focus on driving growth and acquisition across its auto lending portfolio. This is a FULLY ONSITE position, based out of either McLean, Virginia OR Omaha, Nebraska*The Quantitative Analysis Lead will drive data-informed growth across the auto lending portfolio by leading customer segmentation, acquisition, and campaign analytics. This role will partner closely with marketing, product, lending, and technical teams to identify high-value member segments, optimize auto loan purchase and refinancing campaigns, and translate complex data into actionable strategies that improve acquisition, conversion, and portfolio performance.Responsibilities of the Quantitative Analysis Lead:Lead quantitative analytics supporting auto loan acquisition, refinancing, cross-sell, and portfolio growth.Develop customer segmentation and targeting strategies using credit profiles, loan behavior, vehicle lifecycle, and purchase/refinance propensity.Analyze auto lending portfolio and campaign performance across originations, balances, conversion, prepayment, delinquency, churn, and profitability.Partner with marketing, product, and lending teams to design, evaluate, and optimize targeted auto lending acquisition campaigns.Translate quantitative findings into actionable recommendations to improve member acquisition, conversion, retention, and portfolio growth.Collaborate with BI and data science teams on analytics initiatives while providing the business and quantitative perspective.Build and maintain dashboards and automate data collection, segmentation, and reporting workflows using Python and Snowflake, ensuring regulatory and data governance compliance.Qualifications for the Quantitative Analysis Lead:Experience in quantitative/campaign analytics within auto lending, including auto loan acquisition, refinancing, portfolio growth, and/or cross-sell strategies.Strong understanding of auto lending customer segmentation, including purchase/refinance propensity, credit profiles, loan behavior, vehicle lifecycle, and refinancing eligibility.Experience leading acquisition and marketing campaign analytics, translating data into targeting strategies and actionable business recommendations.Experience analyzing auto loan portfolio performance, including originations, balances, prepayments, delinquency, churn, conversion, and profitability.Experience partnering with marketing, product, lending, BI, and data science teams to drive data-informed business decisions.Proficiency with Python and Snowflake for analysis, segmentation, reporting, and workflow automation, plus experience developing KPI dashboards.Knowledge of financial-services regulatory requirements and data governance standards.Compensation for the Quantitative Analysis Lead:Salary Range: $120,000 - $150,000 *depending on experience*Comprehensive Benefits: Medical, Dental, Vision, 401k Plan, PTO, Holidays, Sick Leave if required by lawThis job opens for applications on 08/31. Applications for this job will be accepted for at least 30 days from the posting date.#LI-MS1#LI-ONSITEKeywords: Quantitative Analysis, Quantitative Analytics, Quantitative Analyst, Campaign Analytics, Marketing Analytics, Acquisition Analytics, Auto Lending, Auto Loans, Automobile Lending, Automotive Finance, Consumer Lending, Vehicle Finance, Auto Finance, Loan Acquisition, Customer Acquisition, Member Acquisition, Portfolio Growth, Auto Loan Portfolio, Customer Segmentation, Member Segmentation, Market Segmentation, Targeting Strategy, Campaign Targeting, Campaign Optimization, Acquisition Campaigns, Marketing Campaigns, Refinance, Refinancing, Refinance Propensity, Purchase Propensity, Propensity Modeling, Cross-Sell, Credit Profile, Credit Risk, Loan Behavior, Vehicle Lifecycle, Loan Originations, Origination Volume, Conversion Rates, Prepayment, Delinquency, Churn, Retention, Loan Profitability, Portfolio Performance, Campaign Performance, Python, Snowflake, Data Analysis, Data Analytics, KPI Dashboards, Reporting Automation, Data Automation, Data Governance, Financial Services, Banking, Credit Union, Consumer Finance