Fraud Strategy & Analytics Analyst I

$89,990 - $172,000/Yr

USAA

Full-time - Entry Level

Credit Intermediation and Related Activities

About the position

The Fraud Strategy & Analytics Analyst I at USAA plays a crucial role in providing decision support across various business areas by applying mathematical and statistical techniques to analyze data and develop actionable insights. This position involves gathering, manipulating, and synthesizing data to inform strategies that enhance fraud prevention and drive business objectives. The analyst will collaborate with cross-functional teams, utilize advanced analytical techniques, and communicate findings to influence management decisions and business strategies.

Responsibilities

• Participate in discussions with cross-functional teams to understand business objectives and influence solution strategies.
• Apply advanced analytical techniques to solve medium to large scale business problems.
• Translate recommendations into communication materials for peer review and management presentation.
• Incorporate visualization techniques to support analysis and ease understanding for non-technical audiences.
• Identify and gather relevant data sources to address business problems through exploratory data analysis.
• Integrate and transform disparate data sources while ensuring data hygiene.
• Document assumptions, methodology, validation, and testing for compliance and peer reviews.
• Adopt emerging technologies that can enhance scientific methodologies and quantitative approaches.
• Deliver analysis findings in a manner that influences management and drives business decisions.
• Ensure risks associated with business activities are identified, measured, monitored, and controlled.

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, or an advanced degree with 2 years of experience.
• Competency in mathematical and statistical techniques for fact-based decision-making.
• Intermediate and some advanced knowledge of data analysis tools, SQL, SAS, BI tools, and relevant industry data.

Nice-to-haves

• US military experience or being a military spouse/domestic partner.
• 4+ years working on a fraud analytics team with responsibility for fraud losses.
• Knowledge in product areas with experience building fraud prevention strategies.
• Experience with multiple coding languages (SQL, SAS, Python) and visualization tools (Tableau).
• Experience developing fraud-related reporting and interpreting reports to maintain fraud losses.

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.