Data Scientist (Model Risk Management)

Overview Provide analytical insights by extracting data through machine learning, programming, data modeling, and advanced mathematics to recognize complex patterns and identify opportunities to drive impact across the organization. Developing an understanding of business needs and objectives through the use of basic descriptive, predictive, and prescriptive models. Perform routine assignments with increasing scope and complexity. Work under close supervision with some latitude for problem solving within existing data platforms and tools. Developing professional with basic skill set and proficiency. Responsibilities Evaluate basic/routine predictive models and algorithms with some complexity Develop challengers to compete against existing models and improve performance 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 Qualifications 2-3 years of experience in exploratory data analysis Statistics Programming, data modeling, simulation, and mathematics SQL, R, Python, Pyspark, Azure, Databricks, SAS, and/or SPSS 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 Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields Desired Qualification(s) Master's Degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering Experience developing or validating production models within the Financial Services Industry Hours:

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

820 Follin Lane, Vienna, VA 22180 About Us 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. * Best Companies for Latinos to Work for 2024 * Computerworld Best Places to Work in IT * Forbes 2025 America's Best Large Employers * Forbes 2024 America's Best Employers for New Grads * Forbes 2024 America's Best Employers for Tech Workers *

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Equal Employment Opportunity:

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected Veteran.

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.