Fraud Strategy & Analytics Analyst II

About the position At USAA, we have an important mission: facilitating the financial security of millions of U.S. military members and their families. As a dedicated Fraud Strategy & Analytics Analyst II, you will provide decision support for business areas across the enterprise. This role involves applying mathematical and statistical techniques and innovative quantitative analytical approaches to draw conclusions and make actionable recommendations that align with business objectives and inspire change. The work performed by the Fraud Strategy & Analytics Analyst II includes gathering, manipulating, and synthesizing data such as attributes, transactions, and behaviors, as well as models and other relevant information to develop implementable strategies. In this position, you will be an individual contributor within a specialized team focused on Financial Crimes. You will leverage your understanding of the Financial Crimes space to independently develop solutions while aligning with strategic business direction. Your responsibilities will include assisting with analyses or business strategy using innovative analytical approaches, demonstrating intermediate business, analytical, and technical knowledge to engage with cross-functional teams, and applying advanced analytical techniques to solve medium to large-scale business problems that impact current and future strategies. You will also be responsible for translating your recommendations into communication materials for peer review and presenting them to senior analysts. Visualization techniques will be incorporated to support your analysis and enhance understanding for less technical audiences. Additionally, you will support the identification and gathering of relevant data sources necessary to address the problems at hand, thoroughly document your assumptions and methodologies, and adopt emerging technologies that can enhance scientific methodologies and analytical approaches. Your findings will be delivered in a manner that influences mid-level management and drives business decisions while ensuring compliance with risk and compliance policies. Responsibilities • Provide decision support for business areas across the enterprise. , • Apply mathematical and statistical techniques to draw conclusions and make actionable recommendations. , • Gather, manipulate, and synthesize data, models, and other relevant information. , • Assist with analyses or business strategy using innovative analytical approaches. , • Demonstrate intermediate business, analytical, and technical knowledge in discussions with cross-functional teams. , • Apply advanced analytical techniques to solve medium to large-scale business problems. , • Translate recommendations into communication materials for peer review and senior analysts. , • Incorporate visualization techniques to support analysis and ease understanding for less technical audiences. , • Identify and gather relevant data sources required for recommended strategies through exploratory data analysis. , • Document assumptions, methodology, validation, and testing to facilitate peer reviews and compliance requirements. , • Adopt emerging technology that can affect the application of scientific methodologies and quantitative analytical approaches. , • Deliver analysis/findings in a manner that influences mid-level management and drives business decisions. , • Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled. Requirements • Bachelor's degree in a quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or other quantitative discipline; OR 4 years of related experience in statistics, mathematics, or quantitative analytics may be substituted in lieu of degree. , • 2 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e., P&C, Bank, Finance). , • Demonstrates intermediate knowledge of mathematical and statistical techniques used to drive fact-based decision-making. , • Intermediate knowledge of data analysis tools, data visualization, and developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software. Nice-to-haves • US military experience through military service or a military spouse/domestic partner. , • 2+ years directly working on a fraud analytics team with responsibility for fraud losses. , • Knowledge in at least one product area with first-hand experience building strategies to prevent fraud. , • Experienced in multiple coding languages such as SQL, SAS, Python, and versed in the use of visualization tools like 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 coverage. , • Parental benefits and adoption assistance. , • Paid time off program with paid holidays plus 16 paid volunteer hours. , • Various wellness programs. , • Career path planning and continuing education assistance. Apply Job!