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Principal Data Scientist – Credit Risk Forecasting
Navy Federal Credit Union. Contribute to end-to-end CECL model development, implementation, execution, monitoring, documentation, and governance for consumer lending portfolios .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in CECL model development, predictive modeling, and advanced algorithms, with proficiency in Python, R, SAS, SQL, and AWS. Capable of leading projects, mentoring team members, and effectively communicating complex findings to diverse stakeholders.
Highest-signal resume keywords
CECL Model DevelopmentPredictive ModelingPython ProgrammingData VisualizationModel Risk Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
StatisticsMachine LearningData MiningData AuditingData ModelingSimulationAdvanced MathematicsTechnical WritingModel DevelopmentData Storytelling
Soft Skills
JudgmentCollaborationMentoringCommunicationProblem Solving
Tools & Technologies
RSASSQLHadoopSPSSScalaAWS
Industry Keywords
Consumer LendingCredit Loss ForecastingModel Risk Management GuidelinesFederal and State LawsBanking and Financial Industry Trends
Tech Stack
Tools & technologiesAWSHadoopPythonScalaSQL
About the role
Key responsibilities & impact- Contribute to end-to-end CECL model development, implementation, execution, monitoring, documentation, and governance for consumer lending portfolios
- Design, develop, and evaluate large and complex predictive models and advanced algorithms
- Test hypotheses and models, analyze results, and interpret findings
- Develop actionable insights and recommendations
- Develop and code complex software programs, algorithms, and automated processes
- Evaluate information and exercise judgment to select appropriate courses of action
- Produce innovative solutions through exploratory data analysis of complex, high-dimensional datasets
- Document analyses and present findings to diverse stakeholders
- Develop strong working relationships with team members, subject matter experts, and leaders
- Lead moderate to large projects and initiatives
- Model best practices and ethical AI
- Work with senior management on complex issues
- Assist with developing and enhancing practices, procedures, and instructions
- Serve as a technical resource for team members
- Mentor junior team members in credit risk forecasting and financial performance assessments
Requirements
What you’ll need- 6+ years of experience with requisite competencies
- Complete knowledge and full understanding of specialization
- Knowledge of statistics, machine learning, data mining, data auditing, aggregation, reconciliation, and visualization
- Knowledge of programming, data modeling, simulation, and advanced mathematics
- Proficiency in Python, R, SAS, SQL, Hadoop, SPSS, Scala, and AWS
- Model lifecycle execution
- Technical writing
- Data storytelling and technical presentation skills
- Research skills
- Advanced knowledge of procedures, instructions, and validation techniques
- Model development
- Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or similar quantitative fields
- Must be authorized to work in the United States without current or future sponsorship
- Desired: Master's/PhD degree in a related field
- Desired: Advanced knowledge of CECL reserving, credit loss forecasting, and Model Risk Management guidelines
- Desired: Experience with consumer lending portfolios
- Desired: Familiarity with loan-level or account-level credit loss modeling techniques
- Desired: Experience implementing controlled model production processes
- Desired: Experience responding to model risk, audit, regulatory, accounting, or control review questions
- Desired: Advanced knowledge of applicable federal and state laws and regulations governing consumer lending
- Desired: Advanced knowledge of banking and financial industry trends
- Monday-Friday availability, 8:00 AM-4:30 PM
Benefits
Comp & perks- Highly competitive pay
- Generous benefits and perks
- Employee referral program eligibility