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Auto Credit Analyst Jobs in Virginia (NOW HIRING)

Ability to understand and analyze financial reports and make credit recommendations based on ... and Auto Insurance, etc. * Employee Discount Programs * Professional Training & Development ...

Automotive Finance Manager

Springfield, VA · On-site

$24K - $45K/yr (+ commission)

Review and analyze customer credit reports and financial information. * Match customers with ... Familiarity with automotive lenders such as Capital One Auto Finance, Westlake, Credit Acceptance ...

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Auto Credit Analyst information

See Virginia salary details

$15

$29

$48

How much do auto credit analyst jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for auto credit analyst in Virginia is $29.67, according to ZipRecruiter salary data. Most workers in this role earn between $22.88 and $33.37 per hour, depending on experience, location, and employer.

What is an auto credit analyst?

Auto Credit Analysts are financial professionals who evaluate the creditworthiness of individuals or businesses applying for auto loans. They review credit reports, financial statements, and application details to assess risk and determine whether to approve or deny a loan application. Their analysis helps lenders minimize financial losses while making informed lending decisions. Additionally, they may recommend appropriate loan terms based on the applicant's credit profile and the lender's policies.

What are the key skills and qualifications needed to thrive as an auto credit analyst?

To thrive as an Auto Credit Analyst, you need strong analytical skills, attention to detail, and a background in finance or accounting, often supported by a bachelor’s degree in a related field. Familiarity with credit scoring systems, financial modeling software, and databases like Experian or Equifax is typically required. Excellent communication, problem-solving abilities, and sound judgment help analysts effectively evaluate creditworthiness and negotiate terms. These skills ensure accurate risk assessment and contribute to responsible lending decisions that protect the lender and support customer needs.

What are some common challenges faced by auto credit analysts in evaluating loan applications?

Auto Credit Analysts often encounter challenges such as assessing applicants with limited or poor credit history and balancing the need for risk mitigation with the goal of approving more loans. They also need to stay current with lending regulations and adapt to changes in consumer behavior or economic conditions. Effective communication with sales teams and underwriters is essential to ensure that credit decisions are both sound and timely, especially during periods of high application volume.

What is the difference between Auto Credit Analyst vs Auto Loan Underwriter?

AspectAuto Credit AnalystAuto Loan Underwriter
CredentialsTypically requires a bachelor's degree in finance, economics, or related fieldRequires similar credentials, often with additional underwriting certifications
Work EnvironmentWorks in banks, finance companies, or auto dealerships analyzing credit dataWorks in lending institutions evaluating loan applications and risk
Job FocusAssesses creditworthiness of auto loan applicants based on financial dataReviews and approves or denies auto loan applications based on risk assessment

Auto Credit Analysts and Auto Loan Underwriters both evaluate auto loan applications, often sharing similar qualifications and work environments. The main difference lies in their focus: Credit Analysts analyze overall credit data, while Underwriters make final approval decisions. Both roles are essential in auto financing, with overlapping skills and industry usage.

What are popular job titles related to Auto Credit Analyst jobs in Virginia?

For Auto Credit Analyst jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Auto Credit Analyst jobs in Virginia look for?

The top searched job categories for Auto Credit Analyst jobs in Virginia are:

Infographic showing various Auto Credit Analyst job openings in Virginia as of August 2026, with employment types broken down into 77% Full Time, and 23% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $61,709 per year, or $29.7 per hour.

Manager, Credit Risk and Policy Analytics

PenFed Credit Union

Mclean, VA • Hybrid

$84K - $162K/yr

Full-time

Re-posted 14 days ago


PenFed Credit Union rating

7.6

Company rating: 7.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz


Job description

Overview

PenFed is hiring a (Hybrid) Manager, Credit Risk and Policy Analytics at our Tysons, Virginia or Irving, Texas location.  The primary focus of this job is to manage credit analysis to drive sustainable growth in consumer credit policy and conduct credit risk monitoring to ensure policy performance. You will explore utilizing AI in your analysis and collaborate in building advanced valuation and risk detection models. You will conduct hands-on analysis and have people management opportunities. You have a direct influence on strategic goal setting for the broader Consumer Lending Policy and Analytics team and positively impact on PenFed’s credit product experience for millions of PenFed members.


Responsibilities

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This is not intended to be an all-inclusive list of job duties and the position will perform other duties as assigned.

  • Develop and manage automated and judgmental decisions within credit policies for both new account acquisition and accounts on book, from approve/decline, line assignment and/or portfolio risk management.
  • Individual contributor or manage one analyst to achieve team’s strategic goals, training and assisting development of skills and cultivating credit culture.
  • Drive monitoring and analyses of credit risk for both organic and acquired portfolio, prepare related management reporting package and provide insights on root causes, emerging credit trends and implications on Allowance for Loan Losses.
  • Define risk segmentation, lead analysis for credit policy optimization and risk mitigation strategies, focusing on new account acquisition or existing account management policies.
  • Collaborate with modeling teams to build and validate risk and/or NPV valuation models using both internal and external data sources, implement models in policy optimization, and/or monitor model performance on an ongoing basis.
  • Provide ongoing or ad-hoc risk analytics to support credit or new product expansion.
  • Independently lead the effort for any ad hoc analysis and deep dive to understand the business drivers of credit trends, derive actionable insights and make sound business recommendations
  • Collaborate with business line product managers in optimizing marketing campaigns used in acquisitions and/or customer management that align with the credit policies and scoring models.
  • Participate in external and internal audits, and regulatory examinations as needed.
  • Identify required data and work with data stewards to understand data source, ensure data quality and retrieve data on a timely basis. Contribute to credit data mart and corporate database designs.
  • Explore creative ways to incorporate AI into credit analysis and BAU process.

Qualifications

Equivalent combination of education and experience is considered.

  • Bachelor’s degree in business, finance, economics, computer science, engineering, math, statistics, or other quantitative discipline required, MBA or master’s degree preferred.
  • Minimum of eight (8) years’ experience in credit risk policy & analysis, credit risk management or modeling in the financial services industry.
  • Minimum of three (3) years of supervisory / assistant manager experience required.
  • Experience in Consumer Lending products including Credit Card, Auto Loan and Unsecured Personal Loan is required.
  • Expert level skills in various data analysis and visualization tools including SQL, Excel, and PowerPoint are required.
  • Proficiency with statistical tools, R & Python and Tableau experience, is strongly preferred.
  • Excellent written, verbal communication and presentation skills.
  • Curiosity, attention to details, strong critical thinking and problem-solving skills.
  • Ability to work effectively in ambiguous situations, ability to prioritize among multiple projects.
  • Self-motivated and strong interpersonal skills to actively lead and implement ideas in a cross-functional team environment.
  • Experience using A.I. tools preferred.

Supervisory Responsibility

This position will supervise employees.

Licenses and Certifications

There are no additional licenses and/or certifications required.

Work Environment

While performing the duties of this job, the employee is regularly exposed to an indoor office setting with moderate noise.

*Most roles require working in an office setting with moderate noise and the ability to lift 25 pounds.*

Travel

Ability to travel to various worksites and be on-call is required.

Pay Transparency 
The anticipated starting salary range for this role is $84,700.00 - $162,310.00
This position is eligible for an organizational performance based annual bonus, subject to board discretion and approval.
This position is eligible for an individual performance based annual bonus.

#LI-Hybrid

Qualifications:

Equivalent combination of education and experience is considered.

  • Bachelor’s degree in business, finance, economics, computer science, engineering, math, statistics, or other quantitative discipline required, MBA or master’s degree preferred.
  • Minimum of eight (8) years’ experience in credit risk policy & analysis, credit risk management or modeling in the financial services industry.
  • Minimum of three (3) years of supervisory / assistant manager experience required.
  • Experience in Consumer Lending products including Credit Card, Auto Loan and Unsecured Personal Loan is required.
  • Expert level skills in various data analysis and visualization tools including SQL, Excel, and PowerPoint are required.
  • Proficiency with statistical tools, R & Python and Tableau experience, is strongly preferred.
  • Excellent written, verbal communication and presentation skills.
  • Curiosity, attention to details, strong critical thinking and problem-solving skills.
  • Ability to work effectively in ambiguous situations, ability to prioritize among multiple projects.
  • Self-motivated and strong interpersonal skills to actively lead and implement ideas in a cross-functional team environment.
  • Experience using A.I. tools preferred.

Supervisory Responsibility

This position will supervise employees.

Licenses and Certifications

There are no additional licenses and/or certifications required.

Work Environment

While performing the duties of this job, the employee is regularly exposed to an indoor office setting with moderate noise.

*Most roles require working in an office setting with moderate noise and the ability to lift 25 pounds.*

Travel

Ability to travel to various worksites and be on-call is required.

Pay Transparency 
The anticipated starting salary range for this role is $84,700.00 - $162,310.00
This position is eligible for an organizational performance based annual bonus, subject to board discretion and approval.
This position is eligible for an individual performance based annual bonus.

#LI-Hybrid

Education:UNAVAILABLEEmployment Type: FULL_TIME

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