Data Scientist I (Fraud Data Scientist)

YOUR LIFE’S MISSION: POSSIBLEYou have goals, dreams, hobbies and things you’re passionate about.What’s Important to You Is Important to UsWe’re looking for people who not only want to do meaningful, challenging work, keep their skills sharp and move ahead, but who also take time for the things that matter to them—friends, family and passions. And we’re looking for team members who are passionate about our mission—making a difference in military members’ and their families’ lives. Together, we can make it happen.Don’t take our word for it.• Military Times 2021 Best for Vets Employers• WayUp Top 100 Internship Programs• Forbes® 2022 The Best Employers for New Grads• Forbes® America’s Best Employers• Newsweek Top 100 Most Loved Workplaces• Fortune Best Workplaces for Women• Fortune 100 Best Companies to Work For®• Computerworld® Best Places to Work in ITBasic PurposeProvide independent effective challenge to the models developed by the organization’s business units. This includes conducting model validation, statistical analyses, building benchmark/challenger models, assessing model risk, assessing model performance, ensuring documentation completeness, and identifying and presenting findings to various stakeholders within the business units. Regarded as an advanced professional in the data science field. Conduct complex work under minimal supervision and with wide latitude for independent judgment. Individual contributor and mentor to junior staff.Responsibilities• Conduct model validations, assess model performance, and evaluate model conceptual soundness, including input data, assumptions, statistical and analytical testing, and general development methodology• Conduct model outcomes analysis, including back-testing• Assess new and existing model’s overall fit/suitability with its intended use and purpose• Provide subject matter expertise to identify models’ key assumptions, limitations and weaknesses, and recommend practical solutions to mitigate model risk• Develop benchmark/challenger models to assess strength of model under review• Prepare and present clear, thorough reports to model developers and model owners explaining the analysis performed, results of the analysis and recommendations for improvement• Assist senior leadership in responding to inquiries from internal and external model validation teams, auditors and regulators• Facilitate model risk management (MRM) validations, assess model performance, and evaluate model conceptual soundness, including input data, assumptions, statistical and analytical testing, and general development methodology• Conduct model outcomes analysis, including back-testing and estimating annual financial and member impact• Review and present modeling results and recommendations to executives and external parties• Identify models’ key assumptions, limitations and weaknesses, and recommend practical solutions to mitigate model riskQualifications• Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or another quantitative field, or related field, or the equivalent combination of education, training and experience• Ability to understand complex business problems and determine what aspects require optimization and articulate those aspects in a clear and concise manner• Advanced skill in communicating actionable insights using data to technical and non-technical audiences• Significant experience working in a dynamic, research-oriented groups with several ongoing concurrent projects• Demonstrates advanced functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI and Tableau• Ability to manipulate raw data within visualization tools to create effective dashboards that communicate end-to-end data outcomes visually• Advanced storytelling with data skills• Exceptional technical writing skills• Significant experience R or Python or Spark to analyze large data sets and develop predictive modelsDesired Qualifications and Education Requirements• Doctoral degree in Statistics, Mathematics, Computer Science, Engineering or another quantitative field, or related field• Advanced knowledge of Navy Federal Credit Union instructions, standards, and procedures• Familiar with project management concepts and frameworks such as Agile Frameworks (SAFE), Communication Strategy and Management, Delivery Excellence and Requirements managementHours: Monday – Friday, 8:00AM – 4:30PMLocation: 820 Follin Lane, Vienna, VA 22180 | 5550 Heritage Oaks Dr. Pensacola, FL 32526Navy Federal is now hybrid! Our standard enterprise requirement for a hybrid schedule is to report on-site 4-16 days each month. The number of days reporting on-site will ultimately be determined by the employee’s leadership and business unit needs. You will learn more throughout the hiring and on boarding process.Salary Range: $87,800 – $160,900 annuallyNavy 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.Posting End Date: 04/05/2023Job 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.#LI-HybridEqual Employment OpportunityNavy Federal values, celebrates, and enacts diversity in the workplace. Navy Federal takes affirmative action to employ and advance in employment qualified individuals with disabilities, disabled veterans, Armed Forces service medal veterans, recently separated veterans, and other protected veterans. EOE/AA/M/F/Veteran/DisabilityDisclaimerNavy 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.Bank Secrecy ActRemains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.Employee ReferralsThis position is eligible for the TalentQuest employee referral program. If an employee referred you for this job, please apply using the system-generated link that was sent to you.