Job Description

Our CECL (Current Expected Credit Loss) Quantitative Modeling Team operates at the heart of the Lending Business unit, building accurate credit loss forecasting models through advanced statistical technique, and playing a pivotal role in ensuring the financial stability of Navy Federal Credit Union by informing CU leaders the right level of credit reserve recommendations. Our team’s primary responsibility is to develop and implement advanced quantitative models that enable accurate assessments of potential credit losses across our lending portfolio.

The Summer Associate will work in a flexible hybrid manner and report to leadership at our Vienna, VA campus. Responsibilities will include analyzing data and participating in activities related to quantitative modeling. As part of the team, you will have the chance to work on real-world projects, collaborate with seasoned professionals, and contribute to impactful initiatives. You’ll gain exposure to quantitative modeling techniques commonly employed by nation’s largest financial institutions, and learn analytical skills applied to large financial data.

Potential projects include following.

• Develop models to test and evaluate different modeling techniques 
• Investigating and analyzing potential model performance-improving independent variables
• Analyzing model performance and understanding the cause of prediction errors
• Finding potential performance-improving changes to the existing models
• Model sensitivity analysis
• Analyzing portfolio shifting and its impacts
• Economic research relating to portfolio performance
• Automating modeling related activities using R or Python

The Summer Associate Program is a 12-week internship program beginning in May 2025 and ending in August 2025. Students will work on impactful projects and meaningful work during their internship. To qualify for this position, applicants must be currently pursuing a degree from an accredited college or university and have an anticipated graduation date of December 2025 or later.

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.

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Equal Employment Opportunity: Navy Federal values and celebrates diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected Veteran.

Hybrid Workplace: Navy Federal Credit Union is a hybrid workplace, and details will be discussed during your interview process.

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.

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

• Currently pursuing a master’s or PhD degree in a quantitative field like statistics, computer science, data science, quantitative finance, or economics
• Experience with research, analysis, and data manipulation
• Experience using programming and analytic tools such as: Python, R, SQL, or Tableau 
• Strong problem-solving, critical, and analytical thinking skills
• Good communication and presentation skills
• Comfort working with large datasets and understand the basic database concepts
• Ability to work independently and think outside of the box
• Basic knowledge of financial services/payments a plus

• Perform data pull from source data systems and prepare data for analysis or model development
• Analyze data to understand its impact on model performance
• Participate in model development, model execution and model monitoring related activities
• Work with experienced modeling professionals within the team to support various initiatives 
• Perform other ad hoc analysis
• Prepare reports of analytical findings