Navy Federal Credit Union | Summer Associate Graduate Intern (Lending Analytics – Data Scientist) | United States | United States | BigDataKB.com | 24 oct 2022

Job Location: United States

Job Description

YOUR LIFE’S MISSION: POSSIBLE

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 2021 Best for Vets Employers
• WayUp Top 100 Internship Programs
• Forbes® 2022 The Best Employers for New Grads
• Forbes® America’s Best Employers
• Newsweek Top 100 Most Loved Workplaces
• Fortune Best Workplaces for Women
• Fortune 100 Best Companies to Work For®
• Computerworld® Best Places to Work in IT

Basic Purpose

The Lending Analytics Quantitative Modeling team consists of approximately 20 driven, talented analysts, modelers, and data scientists who assist Lending with forecasting originations, losses, and supporting analytics and reporting. The team is responsible for the full model lifecycle and supports ad hoc data exploration or hypothesis testing.

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 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.

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, 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
• 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 | 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.

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

COVID-19 Safety Protocols

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

Disclaimer

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.

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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