USAA - Phoenix, AZ

posted 4 months ago

Full-time - Mid Level
Remote - Phoenix, AZ
1,001-5,000 employees
Credit Intermediation and Related Activities

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 Fraud Strategy & Analytics Analyst II, you will play a crucial role in providing decision support for various business areas across the enterprise. This position involves applying mathematical and statistical techniques, as well as innovative 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, along with models and other relevant information. The goal is to derive insights that lead to implementable strategies. You will be part of a specialized team within Financial Crimes, leveraging your understanding of this space to independently develop solutions while aligning with strategic business direction. In this role, you will assist with analyses or business strategy using quantitative analytical approaches, demonstrating intermediate business, analytical, and technical knowledge. You will participate in discussions with cross-functional teams to understand and collaborate on business objectives, influencing solution strategies. Your responsibilities will include applying advanced analytical techniques to solve medium to large-scale business problems, translating recommendations into communication materials for peer review, and incorporating visualization techniques to support your analysis. You will also support the identification and gathering of relevant data sources required to address problems effectively, thoroughly documenting assumptions, methodologies, and validation processes. The position requires you to adopt emerging technologies that can enhance scientific methodologies and analytical approaches, delivering findings in a manner that influences management and drives business decisions. Additionally, you will ensure that risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance 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 to derive insights for implementable strategies.
  • Assist with analyses or business strategy using quantitative analytical approaches.
  • Participate in discussions with cross-functional teams to understand and collaborate on business objectives.
  • 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 to address problems effectively.
  • Document assumptions, methodologies, and validation processes thoroughly.
  • Adopt emerging technologies to enhance scientific methodologies and analytical approaches.
  • Deliver findings in a manner that influences 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.
  • 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 in SQL, SAS, BI tools or other analysis software.

Nice-to-haves

  • US military experience through military service or as 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 experience building strategies to prevent fraud.
  • Experience developing fraud-related reporting and interpreting existing reports.

Benefits

  • Adoption assistance
  • Continuing education credits
  • Dental insurance
  • Health insurance
  • Life insurance
  • Paid time off
  • Vision insurance
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