Fraud Strategy & Analytics Lead

$120,550 - $230,400/Yr

USAA - San Antonio, TX

Full-time - Senior

Remote - San Antonio, TX

Credit Intermediation and Related Activities

About the position

The Fraud Strategy & Analytics Lead at USAA is responsible for providing decision support across the enterprise by applying advanced analytical techniques to solve complex business problems related to fraud. This role involves gathering and synthesizing data to make actionable recommendations that drive business strategy and change. The position requires collaboration with cross-functional teams and the ability to communicate complex analyses effectively to all levels of management.

Responsibilities

• Leverage expert business, analytical, and technical knowledge to lead discussions with cross-functional teams.
• Apply advanced analytical techniques to solve large-scale business problems.
• Organize and oversee the development of requirements/resources necessary to meet established objectives.
• Translate recommendations into communication materials for management presentation.
• Incorporate visualization techniques to support analysis and ease understanding for less technical audiences.
• Identify and gather relevant data sources to address business problems.
• Integrate and transform disparate data sources while applying data hygiene techniques.
• Document assumptions, methodology, validation, and testing for compliance requirements.
• Monitor and adopt emerging technologies affecting scientific methodologies and analytical approaches.
• Deliver complex analysis/findings succinctly to influence senior executives and drive business decisions.
• Provide subject matter expertise in operationalizing recommendations.
• Research and pursue industry-leading practices in data and analytics.
• Identify opportunities for continued learning in the data and analytics space.
• Innovate to create new data sets and insights.
• Ensure risks associated with business activities are effectively managed.

Requirements

• Bachelor's degree in a quantitative analytics field or equivalent experience.
• 8 years of data & analytics experience, or 6 years with 2 years of relevant business experience, or an advanced degree with 6 years of experience.
• 3 years of direct and/or indirect management experience.
• Expert skills in mathematical and statistical techniques for decision-making.
• Expert knowledge of data analysis tools, SQL, SAS, BI tools, and relevant industry data.

Nice-to-haves

• Experience working on a fraud analytics team with responsibility for fraud losses.
• Subject Matter Expert in multiple product areas related to fraud prevention.
• Experience in multiple coding languages (SQL, SAS, Python) and visualization tools (Tableau).
• Proven thought leadership in developing strategies to combat fraud.

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.