Decision Science Analyst Senior - Fraud

Why USAA?

The Opportunity

The Decision Science Analyst Senior will develop creative analytical techniques to assess model implementation and monitor model performance across the model lifecycle. This requires the use of standard programming languages, such as SAS and Python, to perform exploratory data analysis and automate standard analytical reporting to assist Fraud and Financial Crimes Leadership in monitoring and managing model risk. The Analyst will also lead the development and maintenance of impactful model performance visualizations and dashboards using analytical software like Tableau to provide Leadership the ability to accurately assess model risk and performance.

• Leading new model deployment efforts, partnering with Technology, Data Science teams, Strategies teams and other partners to plan and implement model delivery.
• Producing Implementation Risk Review model documentation and supporting the model implementation testing processes.
• Meeting with Model Risk Management Validators and other partners to facilitate the completion of model validations and deliver key insights to model users on performance, strengths, and weaknesses of the models.
• Developing the code base necessary to monitor model performance across time, and ensuring the accuracy, completeness, and consistency of reporting metrics.
• Owning the creation of written reports of ongoing model performance provided to Fraud and Financial Crimes leadership.
• Developing analytical reporting required to track the value and health of models regarding loss mitigation, improvement to expense, and member experience.
• Reviewing all automated code jobs to ensure completeness and accuracy.
• Developing performance and model health dashboard visualizations provided to Fraud and Financial Crimes leadership.
• Conducting document and code reviews of content written by teammates.

What you'll do:

• Leverages sophisticated business, analytical and technical knowledge to participate or 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 medium to large scale with significant impact to current and/or future business strategy.
• 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 various 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.
• Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
• Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.
• Provides subject matter expertise in operationalizing recommendations.
• Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data)
• Seeks 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).
• 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 subject area; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.
• 6 years of data & analytics experience or a minimum of 4 years of data & analytics experience and up to 2 years of progressive functional business proven experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing etc.) for a total of 6 years combined experience
• Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.
• 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.
• Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.

What sets you apart:

• US military experience through military service or a military spouse/domestic partner
• Graduate degree in a quantitative subject area.
• 4+ years of experience using data querying tools like SQL, HiveQL, and NoSQL.
• 4+ years of experience using a statistical programming languages like SAS and Python.
• 4+ years of experience using Tableau for data visualization and crafting dashboards.
• Experience writing code that is automated and/or requires minimal manual intervention.
• Experience in model validation and/or model governance.
• Experience working with fraud and financial crimes models.

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: $109,130 - $196,430.

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.