Quantitative Analysis Lead - Auto portfolio
Job in
McLean, Fairfax County, Virginia, USA
Listed on 2026-05-03
Listing for:
Piper Companies
Full Time
position Listed on 2026-05-03
Job specializations:
-
IT/Tech
Business Systems/ Tech Analyst, Data Science Manager, Data Analyst, Data Security
Job Description & How to Apply Below
Piper Companies is seeking a Quantitative Lead – Campaign Acquisition Analytics to support a high-growth financial services organization (Pen Fed Credit Union). This role will partner closely with Marketing to design, analyze, and optimize acquisition campaigns focused on expanding the automobile lending and credit card portfolios. The position emphasizes advanced quantitative analysis, customer segmentation, and propensity modeling rather than hands‑on data engineering.
This is a Hybrid role in McLean, Va.
- Lead quantitative analysis for marketing acquisition campaigns focused on auto loans and credit cards
- Develop and refine customer segmentation strategies to identify high-value acquisition targets
- Analyze purchase propensity, refinance propensity, and response likelihood to optimize campaign performance
- Partner closely with Marketing stakeholders to translate business goals into analytically driven targeting strategies
- Guide campaign measurement frameworks, including lift, ROI, conversion, and portfolio growth impact
- Collaborate with data science, BI, and analytics teams responsible for model development and data pipelines
- Serve as a trusted advisor to business leaders on data-driven growth strategies for consumer lending
- 7+ years of experience in quantitative analytics, campaign analytics, or marketing analytics within financial services
- Strong experience supporting acquisition marketing for auto loans, credit cards, or similar consumer lending products
- Demonstrated expertise in customer segmentation, propensity modeling, and campaign targeting strategies
- Ability to partner closely with Marketing, Product, and Business stakeholders
- Experience leading analytics initiatives without being primarily hands‑on in data engineering or model development
- Strong business acumen with the ability to connect analytical insights to portfolio growth outcomes
- Excellent communication skills, including the ability to influence senior stakeholders
- Salary Range: Competitive Salary (depending on experience)
- Comprehensive benefits package
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