Principal Data Scientist (Model Risk Management)
Company: Navy Federal Credit Union
Location: Vienna
Posted on: February 15, 2026
|
|
|
Job Description:
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. Understand business needs and identify
opportunities for new products, services, and process optimization
to meet business objectives through the use of cutting-edge data
science. Create descriptive, predictive, and prescriptive models
and insights to drive impact across the organization. Regarded as
an advanced professional in the data science field. Conduct complex
work under minimal supervision and with wide latitude for
independent judgment. Mentor lower level staff. Responsibilities •
Conduct model validations including evaluating model conceptual
soundness, assessing data appropriateness, reviewing statistical
and analytical testing, outcome evaluation and performance
monitoring • Provide subject matter expertise to identify models’
key assumptions, limitations and weaknesses, and recommend
practical solutions to mitigate model risk • Develop
benchmark/challenger models to assess strength of model under
review • Prepare and present clear, thorough reports to model
developers and model owners explaining the analysis performed,
results of the analysis and recommendations for improvement •
Design, develop, and evaluate large and complex predictive models
and advanced algorithms if needed • 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 • At least 10 years of experience in credit risk
model development or validation with a Master’s degree in Data
Science, Statistics, Mathematics, Economics, Computer Science,
Engineering, or another quantitative field; or at least 6 years of
relevant experience with a Ph.D. in a quantitative discipline. •
Expertise in industry best practices for CECL, account acquisition
scorecards, account management modeling, pricing, or collections •
In-depth knowledge of model governance throughout the entire model
lifecycle • 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) Hours:
Available Monday - Friday, 8:00AM - 4:30PM Location: 820 Follin
Lane, Vienna, VA 22180
Keywords: Navy Federal Credit Union, Dale City , Principal Data Scientist (Model Risk Management), IT / Software / Systems , Vienna, Virginia