Summer Associate Graduate Intern (Real Estate Lending, Analytics & Business Intelligence)

You have goals, dreams, hobbies and things you’re passionate about.

We’re looking for people who not only want to do meaningful, challenging work, keep their skills sharp and move ahead, but who also take time for the things that matter to them—friends, family and passions. And we're looking for team members who are passionate about our mission—making a difference in military members' and their families' lives. Together, we can make it happen.

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• Computerworld® Best Places to Work in IT

The Real Estate Lending Analytics & Business Intelligence Summer Associate will work to complete an analysis of the Navy Federal mortgage lending operations in terms of simulating impacts of staffing, technology, or process changes on the mortgage origination process. You will provide actionable business intelligence in consultation with management and business units for use in daily and strategic decision making. You’ll apply industry best practices and standards to create optimum solutions that improve business performance and conduct analytical studies to provide results/recommendations to senior management for department and enterprise-wide strategic initiatives.

The Summer Associate Graduate Intern Program is a 10+ week graduate internship program beginning in May 2023 and ending in August 2023. The intention of this program is to hire graduate interns who prove their aptitude into full time roles following graduation. To qualify for this position, applicants must be currently pursuing a graduate or PhD level degree from an accredited college or university with an anticipated graduation date of December 2023 or later.

•  Research and analyze the Real Estate Lending department operations, structure, and organization

•  Complete a business structure analysis of Navy Federal mortgage lending, specifically in the context of analyzing how our current structure drives, inhibits, or enhances the mortgage lending process

•  Analyze the department’s current state to discover opportunities for increasing efficiency and finding areas to improve

•  Present findings and recommendations to stakeholders across the credit union including executive level management

•  Project will consist of a machine learning model to drive originations for Real Estate

 

•  Currently pursuing a graduate degree in Applied Analytics, Business Analytics, Data Science, or other related degree

•  Experience with Python, Databricks, or R

•  SQL experience in conjunction with Tableau or Power BI

•  Machine Learning, Data Analytics, and Data Visualization experience

 

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

Location: Remote | 820 Follin Lane, Vienna, VA 22180 | 5550 Heritage Oaks Drive, Pensacola, FL 32526 | 141 Security Drive, Winchester, VA 22602

Navy Federal is now hybrid! Our standard enterprise requirement for a hybrid schedule is to report on-site 4-16 days each month. The number of days reporting on-site will ultimately be determined by the employee's leadership and business unit needs. You will learn more throughout the hiring and on boarding process.

Salary Range: $41.00 - $46.00 hourly

Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. Within this range, pay will be determined based on factors such as individual qualifications, location, and market position.

Navy Federal values, celebrates, and enacts diversity in the workplace. Navy Federal takes affirmative action to employ and advance in employment qualified individuals with disabilities, disabled veterans, Armed Forces service medal veterans, recently separated veterans, and other protected veterans. EOE/AA/M/F/Veteran/Disability

All employees are expected to follow our COVID-19 safety protocols.

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.

Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.