First Party Fraud Analyst I-

4 weeks ago


Tampa FL, United States USAA Full time

Why USAA?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. As a dedicated First Party Fraud Analyst I you will Individual contributor for the First Party Fraud team within Financial Crimes. You will leverage understanding within Financial Crimes space and with team members and is able to solution towards the strategic business direction. Apply innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change. You will translate recommendation into communication materials to effectively present to colleagues for peer review and mid-to-upper-level management. Identify and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA). Integrates/transforms disparate data sources and resolves appropriate data hygiene techniques. Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements. You will understand and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.
We offer a flexible work environment that requires an individual to be in the office 4 days per week. Relocation assistance is not available for this position.
This position can work remotely in the continental U.S. with occasional business travel.
Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change.
Translates recommendation into communication materials to effectively present to colleagues for peer review and mid-to-upper-level management.
Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).
Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.
Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.
Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
Delivers analysis/findings in a manner that conveys understanding, influences mid to upper-level management, garners support for recommendations, drives business decisions, and influences business strategy.
Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or other quantitative discipline; 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance)
~ Advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline with 2 years experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance).
~ Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.


Previous First-party fraud strategy experience.
Expertise with Model Risk Management and associated documentation and routines.
Knowledge in at least one product area with first-hand experience building strategies to prevent fraud within that product utilizing the supporting tools.
Experienced in multiple coding languages ie: SQL/ SAS/ Python and versed in the use of visualization tools ie: Tableau.
Problem solver whose developed strategies and rules independently solving unique fraud attacks in inventive ways
Experience developing fraud related reporting and can interpret existing reports to maintain fraud losses and identify variance from historical norms to target on-going or future attacks
US military experience through military service or a military spouse/domestic partner

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include 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, and various wellness programs. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


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