USAA - San Antonio, TX

posted 4 months ago

Full-time - Entry Level
Remote - San Antonio, TX
10,001+ employees
Credit Intermediation and Related Activities

About the position

As a dedicated First Party Fraud Analyst I at USAA, you will serve as an individual contributor within the First Party Fraud team, which is part of the Financial Crimes division. Your role will involve leveraging your understanding of the Financial Crimes space and collaborating with team members to align with the strategic business direction. You will utilize your intermediate business, analytical, and technical knowledge to engage in discussions with cross-functional teams, aiming to understand and influence business objectives and solution strategies. In this position, you will apply sophisticated analytical techniques to address medium to large-scale business problems that impact current and future business strategies. You will employ innovative and scientific/quantitative analytical approaches to derive conclusions and make actionable recommendations that drive change. Your ability to translate these recommendations into effective communication materials will be crucial for peer reviews and presentations to mid-to-upper-level management. You will be responsible for identifying and gathering relevant and quality data sources necessary to fully address the problems at hand, utilizing testing or exploratory data analysis (EDA). This includes integrating and transforming disparate data sources while applying appropriate data hygiene techniques. Thorough documentation of assumptions, methodologies, validations, and testing will be essential to facilitate peer reviews and ensure compliance with requirements. Additionally, you will stay informed about emerging technologies that can enhance the application of scientific methodologies and quantitative analytical approaches to problem resolution. Your role will also involve ensuring that risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. This position requires you to work in a flexible environment, with an expectation to be in the office four days a week, while also allowing for remote work within the continental U.S. and occasional business travel.

Responsibilities

  • Leverage intermediate and advanced business, analytical, and technical knowledge to participate in discussions with cross-functional teams.
  • Apply advanced analytical techniques to solve medium to large-scale business problems.
  • Utilize innovative and scientific/quantitative analytical approaches to draw conclusions and make actionable recommendations.
  • Translate recommendations into communication materials for peer review and management presentations.
  • Incorporate visualization techniques to support analysis and enhance understanding for less technical audiences.
  • Identify and gather relevant and quality data sources for testing or exploratory data analysis (EDA).
  • Integrate and transform disparate data sources while applying appropriate data hygiene techniques.
  • Document assumptions, methodologies, validations, and testing to facilitate peer reviews and compliance requirements.
  • Adopt emerging technology that can enhance scientific methodologies and quantitative analytical approaches.
  • Deliver analysis and findings in a manner that influences management and drives business decisions.

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 (i.e. P&C, Bank, Finance).
  • Advanced degree in a quantitative analytics field with 2 years of experience in data/analytics or functional business experience may also be considered.
  • Demonstrates competency in mathematical and statistical techniques for fact-based decision-making.
  • Intermediate and some advanced knowledge of data analysis tools, data visualization, and relevant industry data & methods.

Nice-to-haves

  • Previous First-party fraud strategy experience.
  • Expertise with Model Risk Management and associated documentation.
  • Knowledge in at least one product area with experience building strategies to prevent fraud.
  • Experience in multiple coding languages (e.g., SQL, SAS, Python) and visualization tools (e.g., Tableau).
  • Strong analytical and critical thinking skills with a basic understanding of statistics.
  • Strong communication skills and attention to detail.

Benefits

  • Comprehensive medical, dental, and vision plans.
  • 401(k) and pension plans.
  • Life insurance and parental benefits.
  • Adoption assistance and paid time off program with paid holidays.
  • 16 paid volunteer hours and various wellness programs.
  • Career path planning and continuing education support.
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