Decision Science Analyst Senior - Fraud

$109,130 - $196,430/Yr

USAA - Charlotte, NC

Full-time - Senior

Remote - Charlotte, NC

10,001+ employees

Credit Intermediation and Related Activities

About the position

The Decision Science Analyst Senior for Fraud at USAA plays a crucial role in providing decision support across the enterprise by applying advanced 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. The analyst will develop analytical techniques to assess model implementation and monitor performance, ensuring effective risk management and strategic decision-making.

Responsibilities

• Develop creative analytical techniques to assess model implementation and monitor model performance across the model lifecycle.
• Lead new model deployment efforts in collaboration with Technology, Data Science teams, and other partners.
• Produce Implementation Risk Review model documentation and support model implementation testing processes.
• Facilitate model validations and deliver insights on model performance to users.
• Develop code to monitor model performance over time and ensure reporting accuracy.
• Create written reports on ongoing model performance for leadership.
• Develop analytical reporting to track model value and health regarding loss mitigation and member experience.
• Review automated code jobs for completeness and accuracy.
• Create performance and model health dashboard visualizations 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.
• 6 years of data & analytics experience or a combination of 4 years of data & analytics experience and up to 2 years of progressive functional business experience.
• Advanced skills in mathematical and statistical techniques for decision-making.
• Advanced knowledge of data analysis tools, data visualization, and relevant industry data & methods.
• Experience with new and emerging data sets and data wrangling.

Nice-to-haves

• US military experience through military service or as a military spouse/domestic partner.
• Graduate degree in a quantitative subject area.
• 4+ years of experience using data querying tools like SQL, HiveQL, and NoSQL.
• 4+ years of experience using statistical programming languages like SAS and Python.
• 4+ years of experience using Tableau for data visualization and crafting dashboards.
• 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)
• Pension
• Life insurance
• Parental benefits
• Adoption assistance
• Paid time off program with paid holidays plus 16 paid volunteer hours
• Various wellness programs
• Career path planning and continuing education assistance