Auto Lending Analytics Specialist

Piper Companies; McLean (VA); Hybrid; USD 115,000 - 140,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401(k)

PTO & Sick Leave

Job summary

Piper Companies is seeking a Quantitative Analyst – Auto Lending to join a leading credit union focused on auto lending and consumer loans. You will translate data into actionable pricing strategies, risk insights, and portfolio optimization, partnering with lending, risk, and finance teams.

The role requires 3+ years in data analysis within financial services, strong SQL/Excel skills, and experience with Tableau or Power BI. Python or R is a plus.

Qualifications

• 3+ years of experience in data analysis within financial services, specifically supporting auto lending or consumer loans.
• Strong understanding of auto lending products, loan lifecycle, and credit risk concepts.
• Proficiency in SQL and Excel; experience with Python or R is a plus.
• Experience with data visualization tools such as Tableau or Power BI.

Responsibilities

• Analyze auto loan and consumer lending data to identify trends in originations, credit performance, delinquency, and portfolio health
• Support pricing and underwriting strategy by delivering insights on loan performance, risk segmentation, and yield optimization
• Develop and maintain reporting and dashboards to track KPIs such as approval rates, funding rates, charge-offs, and prepayment trends
• Partner with business stakeholders across lending, risk, and finance teams to support data-driven decision making
• Perform data extraction, transformation, and analysis using SQL and other tools across large datasets

Skills

Analytical thinking

Communication

Attention to detail

Data analysis

Education

Bachelor’s Degree in Data Analytics, Finance, Economics, Statistics, or related field

Tools

SQL

Excel

Python

R

Tableau

Power BI

Job description

Piper Companies is seeking a Quantitative Analyst – Auto Lending to join a leading credit union focused on auto lending and consumer loans. You will translate data into actionable pricing strategies, risk insights, and portfolio optimization, partnering with lending, risk, and finance teams.

The role requires 3+ years in data analysis within financial services, strong SQL/Excel skills, and experience with Tableau or Power BI. Python or R is a plus.