Decision Science Analyst I - Fraud

$89,990 - $161,990/Yr

USAA - Charlotte, NC

Full-time - Entry Level

Remote - Charlotte, NC

10,001+ employees

Credit Intermediation and Related Activities

About the position

As a Decision Science Analyst I for Fraud at USAA, you will provide analytical support to various business areas by applying mathematical and statistical techniques to derive insights and recommendations that drive business objectives. This role involves data manipulation, model performance monitoring, and the creation of visualizations to assist leadership in managing model risk and performance. You will collaborate with cross-functional teams to implement model delivery and ensure the accuracy of reporting metrics.

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 to monitor model performance over time.
• 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.
• 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 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 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.