Decision Science Analyst Senior - Fraud

$109,130 - $196,430/Yr

USAA - San Antonio, TX

Full-time - Mid Level

Remote - San Antonio, TX

Credit Intermediation and Related Activities

About the position

As a Decision Science Analyst Senior for Fraud at USAA, you will play a crucial role in providing decision support across the enterprise. This position involves applying advanced mathematical and statistical techniques to analyze data, draw conclusions, and make actionable recommendations that align with business objectives. You will be responsible for developing analytical techniques to assess model performance, creating visualizations, and collaborating with various teams to implement model delivery and monitor model risk.

Responsibilities

• Gather, manipulate, and synthesize data to draw conclusions and make recommendations.
• Develop 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.
• Lead the development 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.
• Develop code to monitor model performance 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.
• 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 4 years of data & analytics experience with 2 years of progressive functional business experience.
• Advanced skills in mathematical and statistical techniques for decision-making.
• Knowledge of data analysis tools, data visualization, and SQL, SAS, BI tools.
• Experience with new and emerging data sets and data wrangling.

Nice-to-haves

• US military experience or 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.
• 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.