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Auto Loan Processor Jobs in Washington (NOW HIRING)

Loan Specialist (Auto)

Herndon, VA · On-site

$20 - $21/hr

Rotational Processing -- Support adjudication of insurance and title reports, process payoffs/title ... vehicle loan portfolios. Job Type & Location This is a Contract to Hire position based out of ...

Loan Specialist (Auto)

Herndon, VA · On-site

$20 - $21/hr

Rotational Processing -- Support adjudication of insurance and title reports, process payoffs/title ... vehicle loan portfolios. Job Type & Location This is a Contract to Hire position based out of ...

Perform variety of loan servicing activities such as, but not limited to, account maintenance, change of address, auto debit, payment adjustments, processing loan payments, mail out loan statements ...

Loan Operations Specialist

Silver Spring, MD · On-site

$31.21 - $48.01/hr

Perform variety of loan servicing activities such as, but not limited to, account maintenance, change of address, auto debit, payment adjustments, processing loan payments, mail out loan statements ...

Develop new connections and maintain ones by engaging customers throughout the loan process and ... auto repairs, medical procedures and extending household budgets. We meet customers where they want ...

Develop new connections and maintain ones by engaging customers throughout the loan process and ... auto repairs, medical procedures and extending household budgets. We meet customers where they want ...

Develop new connections and maintain ones by engaging customers throughout the loan process and ... auto repairs, medical procedures and extending household budgets. We meet customers where they want ...

Develop new connections and maintain ones by engaging customers throughout the loan process and ... auto repairs, medical procedures and extending household budgets. We meet customers where they want ...

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Auto Loan Processor information

See Washington salary details

$15

$24

$34

How much do auto loan processor jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for auto loan processor in Washington is $24.13, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $27.21 per hour, depending on experience, location, and employer.

What is an auto loan processor?

An Auto Loan Processor is responsible for reviewing and verifying auto loan applications to ensure accuracy and compliance with lending guidelines. They gather necessary documentation, communicate with applicants and lenders, and process loan approvals or denials. Their role involves checking credit reports, calculating loan terms, and ensuring all paperwork is completed correctly. Attention to detail and knowledge of loan regulations are essential for this position.

What are the key skills and qualifications needed to thrive as an auto loan processor?

To thrive as an Auto Loan Processor, candidates should possess strong attention to detail, knowledge of lending regulations, and experience in financial documentation, often supported by a high school diploma or equivalent. Proficiency with loan origination systems (LOS), underwriting platforms, and basic office software is commonly required, along with familiarity with relevant industry certifications being a plus. Effective communication, organizational skills, and the ability to manage tight deadlines help set top performers apart in this field. These skills are crucial to ensure accuracy, regulatory compliance, and timely processing of auto loan applications.

What are the most common challenges faced by auto loan processors, and how can they be managed effectively?

Auto Loan Processors often face challenges such as handling high volumes of loan applications, ensuring all documentation is accurate and complete, and adhering to strict regulatory and compliance standards. To manage these, it’s important to stay organized, keep up-to-date with lending regulations, and maintain clear communication with both applicants and team members. Utilizing efficient loan origination systems and developing strong attention to detail can significantly ease workload pressures. Many employers support ongoing training to help processors stay current with industry practices, making the environment dynamic and fostering professional growth.

How much do entry level auto loan processors make?

Entry-level auto loan processors typically earn between $30,000 and $40,000 annually, depending on location and employer. Starting salaries may include benefits such as health insurance and paid time off, and the role often requires basic knowledge of loan processing software and financial documents.

Is an auto loan processor a difficult job?

Auto loan processors handle the review and approval of auto loan applications, which requires attention to detail, strong organizational skills, and knowledge of lending policies. The job can be challenging due to the need for accuracy and compliance with regulations, but it is generally manageable with experience and proper training.

What are the most commonly searched types of Auto Loan Processor jobs in Washington?

The most popular types of Auto Loan Processor jobs in Washington are:

What are popular job titles related to Auto Loan Processor jobs in Washington?

For Auto Loan Processor jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Auto Loan Processor jobs in Washington look for?

The top searched job categories for Auto Loan Processor jobs in Washington are:

Infographic showing various Auto Loan Processor job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 18% Part Time, 2% Temporary, and 8% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $50,183 per year, or $24.1 per hour.

Senior Data Scientist (Auto Loan Pricing)

Navy Federal Credit Union

Vienna, VA • On-site

Full-time

Posted 4 days ago


Navy Federal Credit Union rating

8.1

Company rating: 8.1 out of 10

Based on 275 frontline employees who took The Breakroom Quiz

63rd of 151 rated financial services


Job description


Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship.
Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization. Understand business needs and identify opportunities for new products, services, and process optimization to meet business objectives through the use of cutting-edge data science. Create descriptive, predictive, and prescriptive models and insights to drive impact across the organization. Conduct work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment. Intermediate professional within field; requires moderate skill set and proficiency in discipline
This position is eligible for the TalentQuest employee referral program. If an employee referred you for this job, please apply using the system-generated link that was sent to you.
Responsibilities
  • Design, develop, and evaluate moderately complex predictive models and advanced algorithms
  • Identifies meaningful insights from large data and metadata sources by selecting and applying the most effective analytical tools, methodologies, and technologies
  • Test hypotheses/models, analyze, and interpret results
  • Exercise sound judgment and discretion within defined procedures and practices
  • Develop and code moderately complex software programs, algorithms, and automated processes
  • Use modeling and trend analysis to analyze data and provide insights
  • Develop understanding of best practices and ethical AI
  • Transform data into charts, tables, or format that aids effective decision making
  • Build working relationships with team members and subject matter experts
  • Lead small projects and initiatives
  • Partners with key stakeholders to communicate pricing strategies and analytical approaches, translating technical findings into business-relevant insights that drive alignment, decision-making, and executive approval
  • Lead the review and governance of pricing policies and portfolio performance, executing recurring pricing analyses, monitoring activities, and optimization initiatives to support strategic pricing decisions and governance committee discussions
  • Design and enhance pricing frameworks for Auto Lending products, leveraging advanced analytics, predictive modeling, and optimization techniques to evaluate pricing alternatives and inform business strategy
  • Lead and collaborate with cross-functional teams to design, implement, and assess pricing experiments and test-and-learn initiatives, generating insights into borrower behavior and pricing elasticity across various pricing scenarios.
  • Develop and maintain deep industry expertise in the Direct and Indirect Auto Lending markets through competitive research, market intelligence, bureau data assessments, while supporting organizational knowledge-sharing and stakeholder education efforts

Qualifications
  • 3-5 years of experience in exploratory data analysis
  • Basic understanding of business and operating environment
  • Statistics
  • Programming, data modeling, simulation, and advanced mathematics
  • SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS, Databricks
  • Model lifecycle execution
  • Technical writing
  • Data storytelling and technical presentation skills
  • Research Skills
  • Interpersonal Skills
  • Working knowledge of procedures, instructions, and validation techniques
  • Model Development
  • Communication
  • Critical Thinking
  • Collaborate and Build Relationships
  • Initiative with sound judgement
  • Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
  • Sound Judgment
  • Problem Solving (Responds as problems and issues are identified)
  • Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields

Desired Qualifications
  • Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering

Additional Information
Hours:
  • Monday - Friday, 8:00AM - 4:30PM

Location:
  • 820 Follin Lane, Vienna, VA 22180

About Us
Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.
Our approach to careers is simple yet powerful: Make our mission your passion.
  • FORTUNE 100 Best Companies to Work For® 2025
  • Yello and WayUp Top 100 Internship Programs
  • Computerworld® Best Places to Work in IT
  • Newsweek Most Loved Workplaces
  • 2025 PEOPLE® Companies That Care
  • Newsweek Most Trustworthy Companies in America
  • Military Times 2025 Best for Vets Employers
  • Best Companies for Latinos to Work for 2025
  • Forbes® 2025 America's Best Large Employers
  • Forbes® 2025 America's Best Employers for New Grads
  • Forbes® 2025 America's Best Employers for Tech Workers
  • 2025 RippleMatch Campus Forward Award Winner for Overall Excellence
  • Military.com Top Military Spouse Employers 2025
  • 2025 Handshake Early Talent Award

From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.
Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.
Accommodations: If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at medicalaccommodations@navyfederal.org or by calling 1-888-503-6013. This team cannot provide any information on job postings or application status.
Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.
Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.
Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

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About Navy Federal Credit Union

Sourced by ZipRecruiter

Navy Federal Credit Union, based in Vienna, Virginia, United States, is a significant player in the financial services industry. Their official website is navyfederal.org. With its roots dating back to 1933, it was initially established to provide credit to Navy members. Over the years, Navy Federal has magnified its scope, evolving into a full-service credit union serving all branches of the military, the Department of Defense, veterans, and their families. The company’s core values include integrity, service, education, and leadership. Navy Federal aims to be the most preferred and trusted financial institution serving the military and their families.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Vienna, VA, US

Year founded

1933