USAA - Colorado Springs, CO

posted 4 months ago

Full-time - Mid Level
Remote - Colorado Springs, CO
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 First Party Fraud Analyst I, you will serve as an individual contributor for the First Party Fraud team within Financial Crimes. This role requires leveraging your understanding of the Financial Crimes space and collaborating with team members to align with the strategic business direction. You will utilize intermediate business, analytical, and technical knowledge to engage in discussions with cross-functional teams, understanding and influencing business objectives and solution strategies. In this position, you will apply sophisticated analytical techniques to solve medium to large-scale business problems that impact current and future business strategies. You will employ innovative and scientific/quantitative analytical approaches to draw conclusions and make actionable recommendations that address business objectives and drive necessary changes. Your recommendations will be translated into communication materials for effective presentation to colleagues and mid-to-upper-level management. You will be responsible for identifying and gathering relevant and quality data sources to fully address the problems at hand through 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 compliance requirements. Additionally, you will stay informed about emerging technologies that can enhance the application of scientific methodologies and quantitative analytical approaches to problem resolution. Ensuring that risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures will also be a key part of your role.

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 effective presentation to colleagues and management.
  • Incorporate visualization techniques to support analysis and ease 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 and apply appropriate data hygiene techniques.
  • Document assumptions, methodologies, validations, 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 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 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) OR an advanced degree in a quantitative analytics field with 2 years of experience in data/analytics.
  • Demonstrated competency in mathematical and statistical techniques used for fact-based decision-making.
  • Intermediate and some advanced knowledge of data analysis tools, data visualization, and developing analysis queries in SQL, SAS, BI tools, or other analysis software.

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 (SQL, SAS, Python) and visualization tools (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)
  • Pension
  • 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
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service