First Party Fraud Analyst I- ( Mid-Level)

About the position

As a First Party Fraud Analyst I at USAA, you will play a crucial role in the Financial Crimes team, focusing on analyzing and preventing first-party fraud. This position requires leveraging analytical skills and collaborating with cross-functional teams to influence business strategies and drive impactful solutions. You will apply advanced analytical techniques to solve medium to large-scale business problems, translating findings into actionable recommendations and effectively communicating them to management. Your work will involve data analysis, integration of disparate data sources, and ensuring compliance with risk management policies.

Responsibilities
? Leverage intermediate and advanced analytical knowledge to collaborate with cross-functional teams on business objectives.
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? Apply advanced analytical techniques to solve medium to large-scale business problems.
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? Utilize innovative analytical approaches to make actionable recommendations that drive business change.
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? Translate recommendations into communication materials for peer review and management presentation.
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? Incorporate visualization techniques to enhance understanding for non-technical audiences.
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? Identify and gather relevant data sources for exploratory data analysis (EDA).
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? Integrate and transform disparate data sources while applying data hygiene techniques.
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? Document assumptions, methodologies, and testing processes for compliance and peer review.
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? Adopt emerging technologies to enhance analytical methodologies and problem resolution.
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? Deliver findings in a manner that influences management and drives business decisions.

Requirements
? Bachelor's degree in a quantitative analytics field (Economics, Finance, Statistics, Mathematics, etc.) or 4 years of related experience in lieu of a degree.
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? 4 years of experience in data/analytics or functional business experience in the relevant industry (P&C, Bank, Finance) or an advanced degree with 2 years of experience.
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? Competency in mathematical and statistical techniques for fact-based decision-making.
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? Intermediate and advanced knowledge of data analysis tools, SQL, SAS, BI tools, and relevant industry methods.

Nice-to-haves
? Previous first-party fraud strategy experience.
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? Expertise in Model Risk Management and associated documentation.
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? Knowledge in at least one product area with experience in fraud prevention strategies.
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? Experience with multiple coding languages (SQL, SAS, Python) and visualization tools (Tableau).
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? Strong analytical and critical thinking skills with a basic understanding of statistics.
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? US military experience or connection through a spouse/domestic partner.

Benefits
? Comprehensive medical, dental, and vision plans.
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? 401(k) and pension plans.
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? Life insurance and parental benefits.
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? Adoption assistance and paid time off including holidays and volunteer hours.
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? Various wellness programs and career path planning for professional development.

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