Navy Federal Credit Union · 23 hours ago
Principal Data Scientist (Model Risk Management)
820 Follin Ln SE, Vienna, VA, 22180, US
Full-time
Onsite
Senior Level, Lead/Staff
$130K/yr - $180K/yr
6+ years expNavy Federal Credit Union is a leading financial institution dedicated to serving the needs of its members. They are seeking a Principal Data Scientist to provide independent data science, machine learning, and analytical insights to support mission-critical decision-making across the organization.
AssociationFinancial ServicesNon Profit
No H1B
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
Qualification
Required
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)
Company
Navy Federal Credit Union
Since 1933, Navy Federal has grown from seven members to over 4 million members. And since that time, their vision statement has remained
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Dietrich Kuhlmann
President & CEO
Kara Cardona
Chief Operating Officer
Recent News
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