USAA - Phoenix, AZ

posted 4 months ago

Full-time - Entry Level
Remote - Phoenix, AZ
5,001-10,000 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 dedicated Fraud Strategy & Analytics Analyst I, you will provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and motivate change. The essence of work performed by the Fraud Strategy Analytics Analyst I involves gathering, manipulating, and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. This position can work remotely in the continental U.S. with occasional business travel. However, any individual that resides within a 60-mile radius of the listed USAA office locations and able and willing to work 4 days from the office is preferred. As an individual contributor in a specialized team within Financial Crimes, you will leverage your understanding within the Financial Crimes space to independently solve complex problems that align with strategic business direction. You will use intermediate and some advanced business, analytical, and technical knowledge to participate in discussions with cross-functional teams to understand and collaborate on business objectives and influence solution strategies. Your role will involve applying advanced analytical techniques to solve business problems that are typically medium to large scale with impact to current and/or future business strategy. You will also be responsible for translating recommendations into communication materials to effectively present to colleagues for peer review and mid-to-upper-level management, incorporating visualization techniques to support the relevant points of the analysis and ease understanding for less technical audiences. Additionally, you will identify and gather the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).

Responsibilities

  • Provide decision support for business areas across the enterprise.
  • Gather, manipulate, and synthesize data to draw conclusions and make recommendations.
  • Leverage understanding within Financial Crimes to independently solve complex problems.
  • 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 management presentation.
  • Incorporate visualization techniques to support analysis and ease understanding for less technical audiences.
  • Identify and gather relevant data sources for analysis.
  • Integrate and transform disparate data sources and apply data hygiene techniques.
  • Document assumptions, methodology, validation, and testing for compliance requirements.
  • Adopt emerging technology that can affect scientific methodologies and quantitative analytical approaches.
  • Deliver analysis/findings to influence business strategy and decisions.
  • Ensure risks associated with business activities are effectively identified 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.
  • 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e., P&C, Bank, Finance).
  • Advanced degree in a quantitative analytics field with 2 years' experience in data/analytics or functional business experience may substitute for some experience.
  • Demonstrates competency in mathematical and statistical techniques used for decision-making.
  • Intermediate and some advanced knowledge of data analysis tools, data visualization, and relevant industry data & methods.

Nice-to-haves

  • US military experience through military service or as a military spouse/domestic partner.
  • 4+ 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 in multiple coding languages such as SQL, SAS, Python, and 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) retirement savings plan.
  • Pension plan.
  • Life insurance.
  • Parental benefits.
  • Adoption assistance.
  • Paid time off program with paid holidays plus 16 paid volunteer hours.
  • Various wellness programs.
  • Career path planning and continuing education assistance.
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