Summer Associate Internship (Data Scientist - Lending Analytics)

Overview

Team Overview :

The Lending Analytics Credit Risk & Decision Science team consists of approximately 30 driven, talented analysts, modelers, and data scientists who develop analytical solutions and recommend strategies that support maximizing the net profitability of Lending portfolios while balancing member service and needs.

This is done through line assignment and line increase models for credit cards, pricing models for the consumer loan portfolio, and many others.

We are looking for a Data Scientist Summer Associate to participate in projects and efforts related to enhanced analytics tracking, dashboarding or automation.

Work includes but is not limited to :

• 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.
• Create descriptive, predictive, and prescriptive models and insights to drive impact across the organization.

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.

Responsibilities

• Leverage a broad set of modern technologies - including Python, R, Scala, and Spark - to analyze and gain insights within large data sets.
• Using statistical practices, analyze current and historical data to make predictions, identify risks, and opportunities, enabling better decisions on planned / future events.
• Provide analytics insights and solutions to solve complex business problems.
• Manage, architect, and analyze big data to build data driven insights and high impact data models.
• Evaluate model design and performance and perform champion / challenger development. Analyze model input data, assumptions, and overall methodology.
• Apply business knowledge and advanced statistical modeling techniques when building data structures and tools.
• Collaborate with other team members, subject matter experts, pods, and delivery teams to deliver strategic advanced analytic based solutions from design to deployment.
• Examine data from multiple sources and share insights with leadership and stakeholders.
• Transform data presented in models, charts, and tables into a format that is useful to the business and aids in effective decision making.
• Create data visualizations and / or dashboards to monitor and explain risk trends that are relevant for loss and originations modeling.
• Conduct model validations and routinely assess model performance.
• Create reports and other deliverables to assist with business planning, continuity, and strategy.
• Lead initiatives to streamline or automate processes related to data preparation, quality assurance, execution of in-production models, report creation.
• Use a variety of analytical and modeling techniques to develop and / or refine strategies related to underwriting criteria, pricing, line management, loss forecasting, loan loss reserves to drive business direction across multiple asset classes (e.

g., Auto, Unsecured, Cards, Mortgage, etc.).

Qualifications

• Currently pursuing an undergraduate or graduate degree in Data Science, Statistics, Economics, Mathematics, Computer Science, Engineering, or another quantitative field.
• Ability to understand complex business problems and determine what aspects require optimization and articulate those aspects in a clear and concise manner.
• Advanced skill in communicating actionable insights using data to technical and non-technical audiences.
• Experience working in a dynamic, research-oriented environments.
• Demonstrates functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI and Tableau.
• Ability to manipulate raw data within visualization tools to create effective dashboards that communicate end-to-end data outcomes visually.
• Proficient in storytelling with data skills.
• Strong technical writing skills.
• Skill communicating thoughts, concepts, practices effectively at all levels, adjusting as needed to a target audience.
• Strong verbal, interpersonal and written communication skills.s (e.g., Microsoft Access, Excel, PowerPoint, etc.)

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.

• Best Companies for Latinos to Work for 2024
• Computerworld Best Places to Work in IT
• Forbes 2024 America's Best Large Employers
• Forbes 2023 The Best Employers for New Grads
• Fortune Best Workplaces for Millennials 2023
• Fortune Best Workplaces for Women 2023
• Fortune 100 Best Companies to Work For 2024
• Military Times 2023 Best for Vets Employers
• Newsweek Most Loved Workplaces
• Ripplematch Campus Forward Award - Excellence in Early Career Hiring
• Yello and WayUp Top 100 Internship Programs

From Fortune . 2024 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 : 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 EOE / AA / M / F / Veteran / Disability

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.