Fraud Strategy Analytics Senior
About the position
At USAA, we are dedicated to facilitating the financial security of millions of U.S. military members and their families. This position is for an experienced fraud analyst who will provide decision support across various business areas within the enterprise. The role involves applying mathematical and statistical techniques, as well as innovative analytical approaches, to draw conclusions and make actionable recommendations that align with business objectives and drive change. The Decision Science Analyst will gather, manipulate, and synthesize data, models, and other relevant information to formulate implementable strategies. The work performed will require leveraging advanced business, analytical, and technical knowledge to engage in discussions with cross-functional teams, understanding complex business objectives, and influencing solution strategies. The analyst will apply advanced analytical techniques to solve medium to large-scale business problems that significantly impact current and future business strategies. This includes translating recommendations into communication materials for various management levels and incorporating visualization techniques to enhance understanding for less technical audiences. Additionally, the analyst will identify and gather quality data sources necessary to address problems and recommend strategies through exploratory data analysis. They will integrate and transform disparate data sources, apply appropriate data hygiene techniques, and document assumptions and methodologies to facilitate peer reviews and compliance. Staying informed on current data and analytics trends, the analyst will also identify opportunities for continued learning in the data and analytics space. The role requires ensuring that risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies.
Responsibilities
Provide decision support for business areas across the enterprise regarding fraud analytics.
,
Apply mathematical and statistical techniques to draw conclusions and make actionable recommendations.
,
Gather, manipulate, and synthesize data to formulate implementable strategies.
,
Leverage advanced analytical knowledge to engage with cross-functional teams and influence solution strategies.
,
Solve medium to large-scale business problems with significant impact on business strategy.
,
Translate recommendations into communication materials for various management levels.
,
Incorporate visualization techniques to enhance understanding for less technical audiences.
,
Identify and gather relevant data sources to address business problems.
,
Integrate and transform disparate data sources and apply data hygiene techniques.
,
Document assumptions, methodologies, and validation processes for compliance and peer reviews.
,
Stay informed on current data and analytics trends and identify learning opportunities.
,
Ensure risks associated with business activities are identified and controlled.
Requirements
Bachelor's degree in a quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data Science, or related discipline; OR 4 years of related experience may substitute for a degree.
,
6 years of data & analytics experience OR 4 years of data & analytics experience plus 2 years of relevant functional business experience for a total of 6 years combined experience.
,
Advanced skills in mathematical and statistical techniques for decision-making.
,
Advanced knowledge of data analysis tools, data visualization, and SQL, SAS, BI tools or other analysis software.
,
Experience with new and emerging data sets and data wrangling techniques.
Nice-to-haves
Multiple years working on a fraud analytics team with responsibility for fraud losses.
,
Subject Matter Expert in at least one product area related to fraud prevention.
,
Experience with multiple coding languages such as SQL, SAS, Python, and visualization tools like Tableau.
,
Problem-solving skills with a history of developing strategies to prevent fraud.
,
Experience in developing fraud-related reporting and interpreting reports to maintain fraud losses.
Benefits
Comprehensive medical, dental, and vision plans.
,
401(k) and pension plans.
,
Life insurance and parental benefits.
,
Adoption assistance and paid time off program with paid holidays.
,
16 paid volunteer hours and various wellness programs.
,
Career path planning and continuing education support.
Apply Now
At USAA, we are dedicated to facilitating the financial security of millions of U.S. military members and their families. This position is for an experienced fraud analyst who will provide decision support across various business areas within the enterprise. The role involves applying mathematical and statistical techniques, as well as innovative analytical approaches, to draw conclusions and make actionable recommendations that align with business objectives and drive change. The Decision Science Analyst will gather, manipulate, and synthesize data, models, and other relevant information to formulate implementable strategies. The work performed will require leveraging advanced business, analytical, and technical knowledge to engage in discussions with cross-functional teams, understanding complex business objectives, and influencing solution strategies. The analyst will apply advanced analytical techniques to solve medium to large-scale business problems that significantly impact current and future business strategies. This includes translating recommendations into communication materials for various management levels and incorporating visualization techniques to enhance understanding for less technical audiences. Additionally, the analyst will identify and gather quality data sources necessary to address problems and recommend strategies through exploratory data analysis. They will integrate and transform disparate data sources, apply appropriate data hygiene techniques, and document assumptions and methodologies to facilitate peer reviews and compliance. Staying informed on current data and analytics trends, the analyst will also identify opportunities for continued learning in the data and analytics space. The role requires ensuring that risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies.
Responsibilities
Provide decision support for business areas across the enterprise regarding fraud analytics.
,
Apply mathematical and statistical techniques to draw conclusions and make actionable recommendations.
,
Gather, manipulate, and synthesize data to formulate implementable strategies.
,
Leverage advanced analytical knowledge to engage with cross-functional teams and influence solution strategies.
,
Solve medium to large-scale business problems with significant impact on business strategy.
,
Translate recommendations into communication materials for various management levels.
,
Incorporate visualization techniques to enhance understanding for less technical audiences.
,
Identify and gather relevant data sources to address business problems.
,
Integrate and transform disparate data sources and apply data hygiene techniques.
,
Document assumptions, methodologies, and validation processes for compliance and peer reviews.
,
Stay informed on current data and analytics trends and identify learning opportunities.
,
Ensure risks associated with business activities are identified and controlled.
Requirements
Bachelor's degree in a quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data Science, or related discipline; OR 4 years of related experience may substitute for a degree.
,
6 years of data & analytics experience OR 4 years of data & analytics experience plus 2 years of relevant functional business experience for a total of 6 years combined experience.
,
Advanced skills in mathematical and statistical techniques for decision-making.
,
Advanced knowledge of data analysis tools, data visualization, and SQL, SAS, BI tools or other analysis software.
,
Experience with new and emerging data sets and data wrangling techniques.
Nice-to-haves
Multiple years working on a fraud analytics team with responsibility for fraud losses.
,
Subject Matter Expert in at least one product area related to fraud prevention.
,
Experience with multiple coding languages such as SQL, SAS, Python, and visualization tools like Tableau.
,
Problem-solving skills with a history of developing strategies to prevent fraud.
,
Experience in developing fraud-related reporting and interpreting reports to maintain fraud losses.
Benefits
Comprehensive medical, dental, and vision plans.
,
401(k) and pension plans.
,
Life insurance and parental benefits.
,
Adoption assistance and paid time off program with paid holidays.
,
16 paid volunteer hours and various wellness programs.
,
Career path planning and continuing education support.
Apply Now