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 Now
Apply Now
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 Now
Apply Now