Quantitative Analysis Lead - Auto Portfolio

Piper Companies

Omaha (NE)

On-site

USD 120,000 - 150,000

Full time

14 days+
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Benefits offered by this job

Medical, Dental, Vision
401k Plan
PTO
Holidays

Job summary

Zachary Piper Solutions seeks a Quantitative Analysis Lead to drive auto lending growth. This fully onsite role is based in Omaha, Nebraska, or McLean, Virginia, and focuses on acquisition, refinancing, and cross-sell campaigns.

You will partner with marketing, product, and lending teams to optimize campaigns and portfolio performance. The role requires strong analytics in auto lending, segmentation expertise, and proficiency with Python and Snowflake.

Qualifications

  • Experience in quantitative/campaign analytics within auto lending
  • Strong understanding of auto lending customer segmentation including propensity and loan behavior
  • Experience leading acquisition and marketing campaign analytics and translating data into targeting strategies
  • Experience analyzing auto loan portfolio performance across originations, balances, prepayments, delinquency, churn, conversion, profitability
  • Experience collaborating with marketing, product, lending, BI, and data science teams
  • Proficiency with Python and Snowflake for analysis, segmentation, reporting, and workflow automation, plus KPI dashboards

Responsibilities

  • 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 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 business and quantitative perspective.
  • Build and maintain dashboards and automate data collection, segmentation, and reporting workflows using Python and Snowflake.

Skills

Quant analytics
Auto lending
Campaign analytics
Customer segmentation

Tools

Python
Snowflake

Job description

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 law

Zachary 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.

This 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-ONSITE

Keywords: 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

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