Overview The Credit Risk & Decision Science team within the Lending Analytics department is responsible for developing and implementing analytical solutions that drive changes to underwriting policies across Navy Federal Credit Union’s various lending products. Data scientists within this team will focus on two areas. Firstly, they will leverage analytics to define and monitor credit card account management strategies such as proactive line increase and reactive line increase to name a few. This will include developing and recommending test and control strategies to better understand cardholder behavior. Secondly, data scientists will leverage the existing pricing framework to support rate changes across various lending portfolios. Successful candidates will exhibit effective communication and analytical skills as well as strong leadership qualities.Responsibilities
Design, develop, and evaluate large and complex predictive models and advanced algorithms
Test hypotheses/models, analyze, and interpret results
Develop actionable insights and recommendations
Develop and code complex software programs, algorithms, and automated processes
Use evaluation, judgment, and interpretation to select right course of action
Work on problems of diverse scope where analysis of information requires evaluation of identifiable factors
Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets
Transform data into charts, tables, or format that aids effective decision making
Utilize effective written and verbal communication to document analyses and present findings analyses to a diverse audience of stakeholders
Develop and maintain strong working relationships with team members, subject matter experts, and leaders
Lead moderate to large projects and initiatives
Model best practices and ethical AI
Works with senior management on complex issues
Assist with the development and enhancement practices, procedures, and instructions
Serve as technical resource for other team members
Mentor lower levels
Qualifications
6+ years of experience with requisite competencies
Complete knowledge and full understanding of specialization
Statistics, machine learning , data mining, data auditing, aggregation, reconciliation, and visualization
Programming, data modeling, simulation, and advanced mathematics
SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
Model lifecycle execution
Technical writing
Data storytelling and technical presentation skills
Research Skills
Interpersonal Skills
Advanced knowledge of procedures, instructions and validation techniques
Model Development
Communication
Critical Thinking
Collaborate and Build Relationships
Initiative with sound judgement
Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
Independent Judgment
Problem Solving (Identifies the constraints and risks)
Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
Desired Qualifications
Familiar with analytical frameworks used to support the pricing of lending products
Familiar with analytical models/analysis used to support credit card underwriting and account management underwriting policies
Familiar using GitHub for documentation and code collaboration purposes
Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering
Hours: Monday - Friday, 8:00AM - 4:30PMLocation: 820 Follin Lane, Vienna, VA 22180About 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 ProgramsFrom 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/DisabilityHybrid 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 positionBank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.REQNUMBER: 21395
