Fraud Strategy & Analytics Lead at USAA

Why USAA?

Let’s do something that really matters.
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. We’re working as one to build a great experience and make a real impact for our members.

We believe in our core values of honesty, integrity, loyalty, and service. They’re what guides everything we do – from how we treat our members to how we treat each other. Come be a part of what makes us so special!

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX.

This position can work remotely in the continental U.S. with occasional business travel.

The Opportunity

Fraud expert that can provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating, and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.

Tasks:

• Leverages expert business, analytical and technical knowledge to lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies.

• Applies advanced analytical techniques to solve business problems that are typically large scale with significant impact to current and/or future business strategy.

• Organizes and oversees the development of requirements/resources necessary to meet established objectives.

• Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make recommendations to answer the business objective and drive the appropriate change. 

• Translates recommendation into communication materials to effectively present to all levels of 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.

• Monitors, understands, and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.

• Succinctly delivers complex analysis/findings in a manner that conveys understanding, influences senior executives, garners support for recommendations, drives business decisions, and influences business strategy.

• Provides subject matter expertise in operationalizing recommendations.

• Researches and pursues the latest and/or industry leading practices in data and analytics, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) to advance the overall DSA community knowledge.

• Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc) or formal (E.g. Certifications or advanced coursework). ). 

• Innovates to create new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.

• Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

• 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 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 data & analytics experience; OR 6 years of data & analytics experience and up to 2 years of progressive functional business relevant experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing etc.) for a total of 8 years combined experience; OR 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 and 6 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing, etc.).

• 3 years of direct and/or indirect management experience.

• Demonstrates 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, and relevant industry data & methods and ability to connect external insights to business problems.

What sets you apart:

• Several years directly working on a fraud analytics team with direct responsibility for fraud losses.

• Subject Matter Expert in multiple product areas with firsthand experience building strategies to prevent fraud within those products utilizing the supporting tools.

• Experienced in multiple coding languages ie: SQL/ SAS/ Python and versed in the use of visualization tools ie: Tableau.

• Proven thought leadership including developing and solving unique fraud attacks in inventive ways.

• Develops reports to maintain fraud losses and identify variance from historical norms to target on-going or future attacks.

• Mentors, teaches as needed to help skill up teammates within organization.

• US military experience through military service or a military spouse/domestic partner

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

What we offer:

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. The actual salary for this role may vary by location. The salary range for this position is: $120,550-$230,400.

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. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, please visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

 

USAA is an Equal Opportunity Employer. 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.