Decision Science Analyst I - Fraud

$89,990 - $161,990/Yr

USAA - San Antonio, TX

Full-time - Entry Level

Remote - San Antonio, TX

Credit Intermediation and Related Activities

About the position

As a Decision Science Analyst I for Fraud at USAA, you will play a crucial role in providing decision support across the enterprise. This position involves applying mathematical and statistical techniques to analyze data, draw conclusions, and make actionable recommendations that align with business objectives. You will work collaboratively with various teams to monitor model performance, support model deployment, and ensure the accuracy of reporting metrics, all while contributing to the financial security of U.S. military members and their families.

Responsibilities

• Gather, manipulate, and synthesize data to draw conclusions and make recommendations.
• Apply creative analytical techniques to assess model implementation and monitor model performance.
• Use programming languages such as SAS and Python for exploratory data analysis and automate reporting.
• Support the development of model performance visualizations and dashboards using Tableau.
• Produce Implementation Risk Review model documentation and support model testing processes.
• Facilitate model validations and deliver insights on model performance to users.
• Maintain the code base for monitoring model performance and ensure reporting accuracy.
• Create 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.
• 4 years of experience in data/analytics or functional business experience in the respective industry.
• Proficiency in 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 or a military spouse/domestic partner.
• Graduate degree in a quantitative subject area.
• 2+ years of experience with SQL, HiveQL, and NoSQL.
• 2+ years of experience with SAS and Python for statistical programming.
• 2+ years of experience using Tableau for data visualization.
• 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 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.