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. The team develops line assignment models for credit cards and pricing models for the consumer loan portfolio, among other tools.
We are looking for data analytics and data science focused Summer Associates 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 2024 and ending in August 2024. 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 2024 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 in order 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 a graduate degree in Data Science, Statistics, Economics, Mathematics, Computer Science, Engineering, or other 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
Strong database, word processing, spreadsheet, and presentation software skills (e.g., Microsoft Access, Excel, PowerPoint, etc.)
Hours: Monday - Friday, 8:00AM - 4:30PM
Location: Remote | 820 Follin Lane, Vienna, VA 22180
Navy Federal is now hybrid! Our standard enterprise requirement for a hybrid schedule is to report onsite 4-16 days each month. The number of days reporting onsite will ultimately be determined by the employee's leadership and business unit needs. You will learn more throughout the hiring and onboarding process.
About Us
You have goals, dreams, hobbies, and things you're passionate about-what's important to you is important to us. 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. Don't take our word for it:
- Military Times 2022 Best for Vets Employers
- WayUp Top 100 Internship Programs
- ForbesR 2022 The Best Employers for New Grads
- Fortune Best Workplaces for Women
- Fortune 100 Best Companies to Work ForR
- ComputerworldR Best Places to Work in IT
- Ripplematch Campus Forward Award - Excellence in Early Career Hiring
- Fortune Best Place to Work for Financial and Insurance Services
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
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.
REQNUMBER: 14090
