Senior Data Scientist (Model Audit)

OverviewSupport Internal Audit's evaluation of model risk frameworks and their ability to mitigate risk for individual models and in the aggregate. Conduct reviews of complex data science and machine learning models across the organization through audit engagements and technical reviews of models. Serve as a subject matter expert to Internal Audit staff, senior management and business partners on end-to-end life-cycle management of model development, implementation, ongoing monitoring, regulatory expectations, and industry modeling practices. Conduct work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment. Intermediate professional within field; requires moderate skill set and proficiency in discipline.ResponsibilitiesResponsible for assessing model governance processes including model inherent risk ratings, model validations, materiality of model changes, and other reviews of models as part of model-related governance audits.Leverages specialized technical approaches to develop, implement, and execute model testing plans for models that require expert model risk knowledge and skills.Executes independent internal audit reviews of models to ensure the independent model audit process is compliant with the written risk and compliance policies and procedures at a subject matter expert level.Evaluates model development, implementation, and use as it pertains to elements of model conceptual soundness, model assumptions, modeling methodology, model limitations, data quality, ongoing monitoring, and other more complex elements of the model development process.Identifies meaningful insights from large data and metadata sources.Tests hypotheses/models, analyzes, and interprets results.Exercises sound judgment and discretion within defined procedures and practices.Develops and codes moderately complex software programs, algorithms, and automated processes.Uses modeling and trend analysis to analyze data and provide insights.Develops understanding of best practices and ethical AI.Transforms data into charts, tables, or formats that aid effective decision making.Builds working relationships with team members and subject matter experts.Leads small projects and initiatives.Utilizes effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholders.Qualifications3-5 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, Computer Science, Engineering, or degrees in similar quantitative fields.Desired Qualification(s)Master's/PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering.Prior experience with enterprise risk management or internal audit.Deep knowledge and experience with SR 11-7 and/or ASOP 56.Prior experience with credit risk.Knowledge of one or more regulations such as CECL, CCAR, Anti-Money Laundering, Fair Lending, etc.Advanced knowledge of Navy Federal Credit Union instructions, standards, and procedures.Hours:

Monday - Friday, 8:00AM - 4:30PMLocations:

820 Follin Lane, Vienna, VA 22180 | 5510 Heritage Oaks Drive, Pensacola, FL 32526About UsNavy 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.Equal Employment Opportunity:

Navy 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/Disability.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