Data Scientist (Financial Risk Management)

This role is on the model development team in Financial Risk Management (FRM) within the Treasury department in Finance. The model developer will be responsible for end-to-end model estimation and implementation, including data ETL, variable selection, and performance testing. The developer will also be involved in model deployment and validation, meeting regularly with stakeholders to assess ongoing model performance and design choices. The candidate should have experience in statistical model development as well as a solid understanding of balance sheet risk management and credit union financial exposures such as credit risk and interest rate risk. The ideal candidate has a background in economics or finance and a strong grasp of the credit union business model and current economic environment.

• Design, develop, and evaluate basic/routine predictive models and algorithms with some complexity
• Analyze and interpret results with some complexity
• Limited judgment and discretion within defined procedures and practices
• Develop and code basic software programs, algorithms, and automated processes
• Use modeling and trend analysis to analyze data
• Collaborate with team members and participate in team projects and initiatives
• Utilize effective written and verbal communication to document and present findings

• 2-5 years of experience in exploratory data analysis
• Statistics
• Programming, data modeling, simulation, and mathematics
• SQL, Python, and Databricks skills
• Model lifecycle execution
• Technical writing
• Data storytelling and technical presentation skills
• Research Skills
• Interpersonal Skills
• Model Development
• Communication
• Critical Thinking
• Collaborate and Build Relationships
• Initiative with sound judgement
• Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
• Problem Solving (Responds as problems and issues are identified)
• Bachelor's Degree in Economics, Finance, Data Science, Statistics, or degrees in similar quantitative fields

Desired Qualifications

• Master's Degree in Economics, Finance, Data Science, or Statistics
• Background in finance or economics
• FRM/CFA or related certification
• Experience or coursework estimating and implementing statistical models using real-world economic data
• Experience or coursework in asset-liability management and financial risk management
• Understanding of financial statements and types of risk faced by credit unions 

Hours: Monday - Friday, 8:30AM - 5:00PM

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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Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.

Hybrid Workplace: Navy Federal Credit Union is a hybrid workplace, and details will be discussed during your interview process.

Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team’s discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position.

Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.