Fraud Strategy & Analytics Analyst I

$89,990 - $172,000/Yr

USAA - Charlotte, NC

Full-time - Entry Level

Charlotte, NC

10,001+ employees

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 methods, and communicate findings effectively to influence management decisions.

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.
• Use innovative analytical approaches to make recommendations that drive change.
• Translate recommendations into communication materials for peer review and management presentation.
• Incorporate visualization techniques to enhance 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 analytical methodologies.
• Deliver findings in a manner that influences management and drives business strategy.
• Identify, measure, monitor, and control risks associated with business activities.

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 (P&C, Bank, Finance).
• Advanced degree in a quantitative analytics field with 2 years of relevant experience may substitute for some experience.
• Competency in mathematical and statistical techniques for decision-making.
• Intermediate and advanced knowledge of data analysis tools, SQL, SAS, BI tools, and relevant industry methods.

Nice-to-haves

• US military experience or connection through a spouse/domestic partner.
• 4+ years working on a fraud analytics team with responsibility for fraud losses.
• Knowledge in product areas with experience in fraud prevention strategies.
• Experience with multiple coding languages (SQL, SAS, Python) and visualization tools (Tableau).
• Strong analytical and critical thinking skills with a basic understanding of statistics.

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.