USAA - Plano, TX

posted 9 days ago

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

About the position

The Fraud Strategy & Analytics Analyst I at USAA plays a crucial role in supporting business areas by applying mathematical and statistical techniques to analyze data and provide actionable insights. This position involves gathering, manipulating, and synthesizing data to develop strategies that enhance fraud prevention and drive business decisions. The analyst will collaborate with cross-functional teams to influence solution strategies and ensure compliance with risk management policies.

Responsibilities

  • Participate in discussions with cross-functional teams to understand business objectives and influence solution strategies.
  • Apply advanced analytical techniques to solve medium to large scale business problems.
  • Make 'insight to action' recommendations based on innovative and scientific/quantitative analytical approaches.
  • Translate recommendations into communication materials for peer review and management presentation.
  • Incorporate visualization techniques to support analysis and ease understanding for non-technical audiences.
  • Identify and gather relevant data sources to address business problems through exploratory data analysis.
  • Integrate and transform disparate data sources while applying data hygiene techniques.
  • Document assumptions, methodology, validation, and testing for compliance and peer reviews.
  • Adopt emerging technologies that can enhance scientific methodologies and quantitative approaches.
  • Deliver findings in a manner that influences management and drives business decisions.
  • Ensure risks associated with business activities are identified, measured, monitored, and controlled.

Requirements

  • Bachelor's degree in a quantitative analytics field or 4 years of related experience in statistics, mathematics, or quantitative analytics.
  • 4 years of experience in data/analytics or functional business experience within the respective industry.
  • Advanced degree in a quantitative analytics field with 2 years of relevant experience may substitute for some experience.
  • Competency in mathematical and statistical techniques for fact-based decision-making.
  • Intermediate and some advanced knowledge of data analysis tools, SQL, SAS, BI tools, and relevant industry data.

Nice-to-haves

  • US military experience or connection through a spouse/domestic partner.
  • 4+ years working on a fraud analytics team with responsibility for fraud losses.
  • Knowledge in product areas with experience building fraud prevention strategies.
  • Experience in multiple coding languages such as SQL, SAS, Python, and 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 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.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service