Decision Science Analyst Senior - Fraud

$109,130 - $196,430/Yr

USAA - Phoenix, AZ

Full-time - Mid Level

Remote - Phoenix, AZ

10,001+ employees

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 and monitoring model performance, creating visualizations, and collaborating with various teams to implement effective strategies that enhance fraud prevention and financial crime management.

Responsibilities

• Develop 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.
• Lead the development and maintenance of impactful model performance visualizations and dashboards using Tableau.
• Partner with Technology and Data Science teams to plan and implement model delivery.
• 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.
• Track the value and health of models 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.
• 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.
• Knowledge of data analysis tools, data visualization, and SQL, SAS, BI tools.
• Experience with new and emerging data sets and data wrangling techniques.

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 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) and pension plans.
• Life insurance and parental benefits.
• Adoption assistance and paid time off program with paid holidays plus 16 paid volunteer hours.
• Various wellness programs and career path planning for professional goals.