Decision Science Analyst II - Fraud

$74,210 - $133,570/Yr

USAA - Charlotte, NC

Full-time - Mid Level

Remote - Charlotte, NC

10,001+ employees

Credit Intermediation and Related Activities

About the position

The Decision Science Analyst II at USAA plays a crucial role in providing decision support across various business areas by applying mathematical and statistical techniques. This position focuses on gathering, manipulating, and synthesizing data to draw conclusions and make actionable recommendations that align with business objectives, particularly in the context of fraud and financial crimes. The analyst will also be responsible for monitoring model performance and supporting model deployment efforts, ensuring effective communication of insights to leadership.

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 relevant industry data.

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 using data querying tools like SQL, HiveQL, and NoSQL.
• 1+ years of experience using statistical programming languages like SAS and Python.
• 1+ years of experience using Tableau for data visualization and dashboard creation.
• Experience in model validation and/or model governance.
• Experience working with fraud and financial crimes models.

Benefits

• Comprehensive medical, dental, and vision plans.
• 401(k) and pension plans.
• Life insurance and 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.