Principal Data Scientist (Credit Risk)

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 with a focus on managing credit risk. Understand business needs and identify opportunities for new products, services, and process optimization to meet business objectives using cutting-edge data science techniques. 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.

• Develop credit risk models and strategies for underwriting and account management to optimize Lending decisions 
• Develop simulation/capacity models for capacity planning and business process improvement to improve operational efficiency, and member service and satisfaction 
• Develop, implement, and use of credit scoring models for underwriting strategies 
• Create detailed documentation outlining solution design and technical specification of each solution 
• Maintain thorough knowledge of credit bureau data, tools and initiatives as well as newer advancements in Machine Learning and AI, and how they may be leveraged to improve Lending’s credit decisions 
• Develop and refine segmentation models to help focus corporate and divisional activities and goals supporting corporate growth, retention, client/member experience and long-term profitability 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-level data scientists

• 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 
• Python, SQL, R, 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 Qualification

• Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering

Hours: Monday - Friday, 8:00AM - 4:30PM

Location: 820 Follin Lane, Vienna, VA 22180 

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.

Our approach to careers is simple yet powerful: Make our mission your passion.

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