Job description

We're always looking for diverse, talented, service-oriented people to join our exceptional team. Statistical Data Analyst II 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: $86,917.00 - $130,376.00 Scheduled Weekly Hours: 40 What You'll Be Doing Responsible for the development, maintenance, and execution of existing and new statistical models in SAS or comparable system, recommending revisions and improvements to statistical models, developing new models, conducting and documenting detailed analysis, and reporting various findings to management as required for stress testing purposes. • Evaluate, design, develop, and maintain 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, and CECL requirements. • Develop methods to analyze both existing and new models, including determining appropriate methodologies based on model type, challenging assumptions, evaluating performance and robustness effectively, writing comprehensive validation documents, and presenting findings to senior management. • Identify standards that can be applied in assessment of all aspects of stress test models including theoretical aspects, model design and implementation, data integrity, and reliability. Perform advanced assessments to assess how models perform in comparison of identified standards for the models, thoroughly documenting results of your review. • Apply maturing knowledge of industry best practices of statistical models and methodologies. Stay current with emerging requirements, both regulatory and others, and manage corresponding changes in models, systems, and processes. • Create and present effective materials to management based on findings, showcasing professional displays of information. • Develop and apply advanced statistical techniques to analyze data, forecast, interpret, and quantify trends on various aspects of information. Responsible for sophisticated analysis and development of implications and recommendations for existing processes, as well as building these out for new processes. • Ensure the accuracy and reliability of data used in the model building process by performing established data checks and validations. Ensure data check process is robust and implement changes where necessary. Responsible for gathering and organizing data, ensuring data accuracy, and developing ways to address concerns. • Develop modeling-focused reports, presentations, and written narratives for inclusion into the Credit Union's annual Capital Plan. • Establish and maintain strong relationships with various business units and key functional stakeholders to develop business-related assumptions based upon different economic scenarios and to identify new opportunities for statistical analysis applications to evaluate 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 • Bachelor's Degree or equivalent years of experience required • Master's Degree preferred • 3-5 years of previous related experience required • 3-5 years of experience within a financial services company. Knowledge, Skills, and Abilities • Thorough understanding of and ability to recommend and implement new statistical methods, probability theory, data cleaning/imputation, and advanced statistical and quantitative analysis required, as is a working knowledge of credit loss, originations, and PPNR modeling at a financial institution. • Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint). • Working knowledge of SAS is required, as is intermediate proficiency in a coding based statistical language such as SAS, R, Python, Matlab, etc. • Strong analytical and problem-solving skills as well as effective communication skills, both written and verbal. • Proficient data cleaning, statistical analysis, and statistical coding skills. SchoolsFirst FCU is committed to Diverse, Equitable, and Inclusive Hiring At SchoolsFirst FCU we are dedicated to building and growing a diverse, inclusive, and authentic Dream Team, so if you're excited about a position or wanting to make a career change but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. Many skills are transferrable and you may be just the right candidate for the position, or for other roles we are working on. SchoolsFirst Federal Credit Union is committed to fostering, cultivating, and preserving a culture of diversity and inclusion. SchoolsFirst FCU is an equal opportunity employer and prohibits discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibits discrimination against all individuals based on their race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, political affiliation, or genetic information. This organization participates in E-Verify.

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