USAA - Colorado Springs, CO

posted 4 months ago

Full-time - Mid Level
Colorado Springs, CO
10,001+ employees
Credit Intermediation and Related Activities

About the position

As a dedicated First Party Fraud Analyst, Senior at USAA, you will play a crucial role as an individual contributor within the First Party Fraud team, which is part of the Financial Crimes division. Your primary responsibility will be to leverage your advanced understanding of the Financial Crimes space to align with the strategic business direction of the organization. You will take ownership of both small- and large-scale analyses and business strategies, employing innovative and quantitative analytical approaches to extract insights from data. This will involve a range of data preparation, modeling, and visualization techniques, including predictive analysis, pattern recognition, and machine learning. Your key skills will include association rule learning, cluster analysis, anomaly detection, and data visualization using tools such as PowerBI and Tableau, as well as object-oriented programming languages like Python and SAS. In this role, you will be expected to understand the business environment and strategies related to First Party Fraud, allowing you to identify and recommend solutions that can influence the business and inspire change. You will advocate for both yourself and your teammates, encouraging the growth of direct and indirect peers in both technical and soft skills. Additionally, you will ensure that risks associated with business activities are optimally identified, measured, supervised, and controlled in accordance with risk and compliance policies and procedures. The position offers a flexible work environment, requiring you to be in the office four days a week, with the option to work remotely within the continental U.S. on occasion. You will also have opportunities for business travel as needed. This role is pivotal in driving the analytical efforts that support USAA's mission of facilitating the financial security of military members and their families, making a real impact through your work.

Responsibilities

  • Leverage advanced business, analytical, and technical knowledge to lead discussions with cross-functional teams to understand and collaborate on complex business objectives.
  • Apply advanced analytical techniques to solve medium to large-scale business problems with significant impact on current and future business strategy.
  • Utilize innovative and scientific/quantitative analytical approaches to draw conclusions and make actionable recommendations.
  • Translate recommendations into communication materials for various levels of management.
  • Incorporate visualization techniques to support analysis and enhance understanding for less technical audiences.
  • Identify and gather relevant and quality data sources to address business problems through exploratory data analysis (EDA).
  • Integrate and transform disparate data sources, applying appropriate data hygiene techniques.
  • Document assumptions, methodology, validation, and testing to facilitate peer reviews and compliance requirements.
  • Adopt emerging technologies that can affect the application of scientific methodologies and quantitative analytical approaches.
  • Deliver analysis and findings succinctly to influence management and drive business decisions.
  • Provide subject matter expertise in operationalizing recommendations.
  • Stay informed on current data and analytics trends, including cloud computing, data mining, and machine learning.
  • Identify opportunities for continued learning in the data and analytics space.

Requirements

  • Bachelor's degree in a quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data Science, or a related discipline; OR 4 years of related experience in statistics, mathematics, or quantitative analytics may be substituted in lieu of a degree.
  • 6 years of data & analytics experience, OR a minimum of 4 years of data & analytics experience combined with up to 2 years of progressive functional business experience in the respective industry for a total of 6 years.
  • Advanced degree in a quantitative analytics field and 4 years of experience in data/analytics or functional business experience within the respective industry may also qualify.
  • Demonstrated advanced skills in mathematical and statistical techniques for fact-based decision-making.
  • 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 with multiple coding languages such as SQL, SAS, and Python, and proficiency in visualization tools like Tableau.
  • Strong analytical and critical thinking skills with a basic understanding of statistics.
  • US military experience through service or as a military spouse/domestic partner.

Benefits

  • Comprehensive medical, dental, and vision plans.
  • 401(k) and pension plans.
  • Life insurance and 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 support.
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