Job Description

Overview Provide independent data science, machine learning, and analytical insights using member, financial, and operational data to support critical decision making within the BSA/AML and OFAC Compliance department. Expertise in financial crime compliance and regulatory requirements is essential for this role. Understand business needs and identify opportunities for new models and optimization of existing models to enhance risk detection, regulatory reporting, and operational efficiency. Leverage cutting-edge data science techniques to design and develop descriptive, predictive, and prescriptive models that drive meaningful insights and 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. Responsibilities Design, develop, and evaluate moderately complex predictive models and advanced algorithms Identifies meaningful insights from large data and metadata sources Test hypotheses/models, analyze, and interpret results Exercise sound judgment and discretion within defined procedures and practices Develop and code moderately complex software programs, algorithms, and automated processes Use modeling and trend analysis to analyze data and provide insights Develop understanding of best practices and ethical AI Transform data into charts, tables, or format that aids effective decision making Build working relationships with team members and subject matter experts Lead small projects and initiatives Utilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholders Qualifications 3-5 years of experience in exploratory data analysis Basic understanding of business and operating environment Statistics Programming, data modeling, simulation, and advanced mathematics SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS Model lifecycle execution Technical writing Data storytelling and technical presentation skills Research Skills Interpersonal Skills Working 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.) Sound Judgment 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 Qualifications Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering ACAMS certification or prior experience in BSA/AML & OFAC compliance, including financial crime risk modeling and transaction monitoring analytics Hours: Monday - Friday, 8:00AM - 4:30PM Location: 820 Follin Lane, Vienna, VA 22180 | 5510 Heritage Oaks Drive, Pensacola, FL 32526 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 2024 America's Best Large Employers* Forbes 2024 America's Best Employers for New Grads* Forbes 2024 America's Best Employers for Tech Workers* Fortune Best Workplaces for Millennials 2024* Fortune Best Workplaces for Women 2024* Fortune 100 Best Companies to Work For 2024* Military Times 2024 Best for Vets Employers* Newsweek Most Loved Workplaces * 2024 PEOPLE Companies That Care* Ripplematch Recruiting Choice Award* Yello and WayUp Top 100 Internship ProgramsFrom Fortune . 2024 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union. 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. 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. #J-18808-Ljbffr Navy Federal Credit Union

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