Statistical Data Analyst The pay range for this position is listed below. Our pay ranges are built to allow for candidates with various levels of skill and experience to be considered, as well as for room for growth and tenure achieved in a role over time. Typical new hire salary offers fall within the minimum to midpoint of a pay range for many candidates. Any offer extended to a candidate will be based upon their unique set of knowledge, skills, education, and experience as well as internal equity. Pay Range: $78,419.00 - $117,628.00 Scheduled Weekly Hours: 40 What You'll Be Doing Assists in the development, maintenance, and execution of statistical models in SAS or comparable system, recommending revisions and improvements to existing statistical models, conducting and documenting detailed analysis, and reporting various findings to management as required for stress testing purposes, capital planning, and budgeting purposes. - Updates, maintains, and evaluates existing statistical and predictive models to identify historical trends and forecast future performance of credit losses, loan originations, pre provision net revenue and other related measures using SAS or comparable system, based upon projections of macroeconomic variables from the Federal Reserve and internally developed business assumptions as required by NCUA for capital planning, stress testing, budgeting, and CECL requirements. - Analyzes existing models, challenges their assumptions, evaluates their performance and robustness effectively, writes comprehensive code, reporting, and validation documents, and presents findings to management. - Performs and documents quantitative assessments of all aspects of models including theoretical aspects, model design and implementation, data integrity, and reliability. - Keeps up-to-date with industry best practices and emerging trends in statistical analysis and modeling and applies those methods in day-to-day activities. - Assists in the creation of reports and presentations to communicate findings to model owners and other key stakeholders. - Ensures the accuracy and reliability of data used in the model building and projection processes by performing established data checks and validations. Communicates data quality concerns with more senior analysts and/or management to determine ways to address concerns. - Applies statistical techniques to analyze data, forecast, interpret, and quantifies trends on various aspects of information using processes already in place. - Updates and aids in the development of various risk and regulatory reporting, including the development of stress testing schedules and capital plan reports, presentations, and written narratives as part of the Credit Union's annual capital plan submission. - Works closely with senior analysts and other teammembers throughout the Credit Union to understand project requirements, data needs, and deliverables. Additional Job Functions - Performs other duties as assigned - Complies with regulatory compliance and assigned training requirements including but not limited to BSA regulations corresponding to their specific job duties. Failure to do so may result in disciplinary and other employment related actions. Qualifications - High School Diploma or GED required - Bachelor's Degree in a related field or equivalent years of experience required - Master's Degree preferred - 1-3 years of prior relevant experience required Knowledge, Skills, and Abilities - Understanding of statistical methods, probability theory, data cleaning/imputation, and advanced statistical and quantitative analysis required - Knowledge of a coding based statistical language required, such as SAS, R, Python, Matlab, etc. - Knowledge of SAS preferred - Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint) - Strong analytical and problem-solving abilities, effective communication and writing skills, and willingness to learn and adapt to new processes - Data management and data mining skills, specifically with experience using SQL coding preferred