Decision Science Analyst II - Fraud

About the position Responsibilities • Apply creative analytical techniques to assess model implementation and monitor model performance across the model lifecycle. • Use programming languages such as SAS and Python for exploratory data analysis and automate standard analytical reporting. • Support the development and maintenance of model performance visualizations and dashboards using Tableau. • Produce Implementation Risk Review model documentation and support model implementation testing processes. • Facilitate model validations and deliver insights on model performance to users. • Maintain the code base necessary for monitoring model performance and ensure reporting accuracy. • Create written reports on ongoing model performance for leadership. • Perform analytical reporting to track model value and health regarding loss mitigation and member experience. • Review automated code jobs for completeness and accuracy. • Craft and maintain performance dashboards for leadership. • Conduct document and code reviews of teammates' work. Requirements • Bachelor's degree in a quantitative analytics field or 4 years of related experience in statistics, mathematics, or quantitative analytics. • 2 years of experience in data/analytics or functional business experience in the respective industry. • Intermediate knowledge of mathematical and statistical techniques for decision-making. • Intermediate knowledge of data analysis tools, data visualization, and SQL, SAS, BI tools. Nice-to-haves • US military experience through military service or as a military spouse/domestic partner. • Graduate degree in a quantitative subject area. • 1+ years of experience with SQL, HiveQL, and NoSQL. • 1+ years of experience with SAS and Python for statistical programming. • 1+ years of experience using Tableau for data visualization and dashboards. • Experience in model validation and governance. • Experience working with fraud and financial crimes models. Benefits • Comprehensive medical, dental, and vision plans • 401(k) and pension • Life insurance • Parental benefits • Adoption assistance • Paid time off program with paid holidays and 16 paid volunteer hours • Various wellness programs • Career path planning and continuing education support Apply tot his job Apply To this Job