Director, Credit Risk – CECL Modeling

Navy Federal Credit Union

. Manage, lead, and mentor teams of data scientists and analysts developing advanced statistical models, algorithms, and data mining techniques .

Posted 9/21/2026full-timeVienna • Virginia • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expert knowledge in credit risk management, including the development and implementation of CECL models and credit risk policies. Proficient in data analytics, financial modeling, and regulatory compliance within the banking industry.

Highest-signal resume keywords

Credit Risk ManagementCECL Model DevelopmentData AnalyticsRegulatory ComplianceTeam Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingData Mining TechniquesFinancial ModelingForecasting ToolsUnderwriting ProcessesRisk Exposure MeasurementSQLRPythonHadoop

Soft Skills

MentoringCommunicationDecision MakingProblem SolvingInitiative Taking

Tools & Technologies

SASSPSSAWSBusiness Intelligence Tools

Industry Keywords

Credit Risk AssessmentsConsumer LendingBanking Industry TrendsFraud DetectionRegulatory Requirements

Tech Stack

Tools & technologies

AWSHadoopPythonScalaSQL

About the role

Key responsibilities & impact

Manage, lead, and mentor teams of data scientists and analysts developing advanced statistical models, algorithms, and data mining techniques
Lead end-to-end CECL model development, implementation, execution, monitoring, documentation, and governance for consumer lending portfolios
Oversee development of credit risk policies aligned with regulatory requirements, industry best practices, and organizational goals
Communicate credit and financial insights to senior leadership and advise on credit risk strategies and lending decisions
Present analytical models and strategic insights to the executive team
Monitor and report on credit risk performance and recommend improvements
Ensure effective credit risk management using analytical techniques, financial modeling, and forecasting tools
Lead integration of new data sources, machine learning, and AI into credit risk management
Collaborate with stakeholders and advise on complex credit risk issues throughout credit risk lifecycles
Design risk mitigation strategies and business intelligence with senior leadership
Supervise and mentor the credit risk team

Requirements

What you’ll need

College/university degree and 10-15+ years work experience with credit risk assessments at a large financial institution
6+ years of management experience
Expert knowledge of underwriting/credit risk processes and interactions between consumer behaviors and macroeconomic environment
Expert knowledge of applicable federal and state laws, rules and regulations
Expert knowledge of banking/financial industry trends, products and services
Expert knowledge of debit and/or credit card fraud issues, patterns and processes
Extensive experience developing strategy and conducting deep dive analytics in consumer lending across the credit lifecycle
Expert experience demonstrating thought-leadership, initiative-taking, decision making and creativity solving business problems
Experience managing multiple priorities independently and/or in a team environment
Expert knowledge of methodologies used to measure, model, and simulate credit risk, regulatory risk, and risk exposure in relevant lending product types
Advanced experience analyzing data to identify red flags for operational credit risks
Advanced skill in data analytics and programming languages (SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS)
Must be authorized to work in the United States without current or future sponsorship
Advanced degree in a quantitative discipline or related field or equivalent combination of training, education and experience (desired)

Benefits

Comp & perks

Highly competitive pay
Generous benefits and perks
Employee referral program eligibility