AVP, AML Analytics responsible for developing analytical tools for compliance in financial crime risk. Collaborating with various teams to proactively identify and mitigate risks.
About the role
- Decision Science Analyst Lead providing analytical support and insights for business areas at USAA. Utilizing advanced statistical methods for strategic decision-making and collaboration with cross-functional teams.
Responsibilities
- Provide decision support for business areas across the association.
- Apply mathematical and statistical techniques and/or innovative/quantitative analytical approaches.
- Gather, manipulate and synthesize data to draw conclusions and make recommendations.
- Lead discussions with cross functional teams to understand and collaborate on highly complex business objectives.
- Apply advanced analytical techniques to solve large scale business problems.
- Prioritize and lead the development of requirements/resources.
- Translate recommendations into communication materials for management.
- Identify and gather relevant data sources for testing or exploratory data analysis.
Requirements
- 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 field is required; OR 4 years of related statistics, mathematics or quantitative analytics or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
- 8 years of experience in a decision support analytic function OR Advanced degree in relevant discipline, 6 years of experience in a decision support analytic function.
- Expert skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.
- Expert knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software.
- Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.
Benefits
- 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
- various wellness programs
- career path planning and continuing education
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