USAA - Phoenix, AZ

posted 4 months ago

Full-time - Mid Level
Remote - Phoenix, AZ
Credit Intermediation and Related Activities

About the position

Why USAA? Let's do something that really matters. At USAA, we have an important mission: facilitating the financial security of millions of U.S. military members and their families. Not all our employees served in our nation's military, but we all share in the mission to give back to those who did. We're working as one to build a great experience and make a real impact for our members. We believe in our core values of honesty, integrity, loyalty, and service. They're what guides everything we do - from how we treat our members to how we treat each other. Come be a part of what makes us so special! As a dedicated First Party Fraud Analyst I, you will be an individual contributor for the First Party Fraud team within Financial Crimes. You will leverage your understanding within the Financial Crimes space and collaborate with team members to align with the strategic business direction. Your role will involve using intermediate business, analytical, and technical knowledge to engage in discussions with cross-functional teams, understanding and collaborating on business objectives, and influencing solution strategies. You will apply sophisticated analytical techniques to solve business problems that are typically medium to large scale, impacting current and/or future business strategy. By employing innovative and scientific/quantitative analytical approaches, you will draw conclusions and make 'insight to action' recommendations to address business objectives and drive appropriate change. Your recommendations will be translated into communication materials to effectively present to colleagues for peer review and mid-to-upper-level management. You will identify and gather relevant and quality data sources required to fully address the problem for the recommended strategy through testing or exploratory data analysis (EDA). This includes integrating and transforming disparate data sources and applying appropriate data hygiene techniques. Thorough documentation of assumptions, methodology, validation, and testing will be essential to facilitate peer reviews and compliance requirements. Additionally, you will understand and adopt emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions. Ensuring that risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures will be a key part of your responsibilities. We offer a flexible work environment that requires you to be in the office 4 days per week, with the option to work remotely in the continental U.S. and occasional business travel.

Responsibilities

  • Leverage intermediate and some 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.
  • Use innovative and scientific/quantitative analytical approaches to draw conclusions and make recommendations.
  • 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 and quality data sources for analysis through testing or exploratory data analysis (EDA).
  • Integrate and transform disparate data sources and apply appropriate data hygiene techniques.
  • Document assumptions, methodology, validation, and testing to facilitate peer reviews and compliance requirements.
  • Adopt emerging technology that can affect 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 experience in data/analytics.
  • Demonstrates competency in mathematical and statistical techniques used for fact-based decision-making.
  • Intermediate and some advanced knowledge of data analysis tools, data visualization, SQL, SAS, BI tools, 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 (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

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