Data Scientist II

Data Scientist II - Fraud at USAA summary:
The Data Scientist II - Fraud at USAA is responsible for developing and deploying advanced machine learning models to detect and prevent fraud across various financial products. The role involves collaborating with multiple teams to create innovative analytical solutions while adhering to model risk management frameworks. Candidates should have a strong background in quantitative fields and experience with statistical and AI/ML modeling techniques and tools.
At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.
Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. As a Data Scientist II for Fraud, you will be responsible the development of machine learning models that improve USAA’s ability to detect and prevent fraud on credit card, debit card, check, deposit, digital payments, as well as in other areas such as claims and disputes. Develop and continuously update internal fraud models in the transactions and payment space, demonstrating techniques ranging from statistics to highly sophisticated AI/ML techniques, to generate highly significant reduction in fraud losses and improvement in Member experience
Collaborate with the broader analytics community to share standard methodologies and techniques
We offer a flexible work environment that requires an individual to be in the office 4 days per week. Relocation assistance is not available for this position.
This position can work remotely in the continental U.S. with occasional business travel.
Captures, interprets, and manipulates structured and unstructured data to enable analytical solutions for the business.
Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs.
Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework.
Composes technical documents for knowledge persistence, risk management, and technical review audiences. Translates business request(s) into specific analytical questions, completing the analysis and/or modeling, and presenting outcomes to non-technical business colleagues.
Consults with Data Engineering, IT, the business, and other internal partners to deploy analytical solutions that are aligned with the customer’s vision and specifications and consistent with modeling best practices and model risk management standards.
Seeks opportunities and materials to learn new techniques, technologies, and methodologies.
Ensures risks associated with business activities are optimally identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.
Bachelor’s degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; 2 years of experience in predictive analytics or data analysis OR Advanced Degree (e.g., Master’s, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field
~ Experience in training and validating statistical, physical, machine learning, and other sophisticated analytics models.
~ Experience in one or more multifaceted scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models.
~ Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc.
~ Experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc.
~ Experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc.
~ US military experience through military service or a military spouse/domestic partner
Graduate degree in a quantitative subject area
Experience in fraud/financial crimes model development
Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).
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. 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. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. 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.
fraud detection, machine learning, data science, predictive analytics, statistical modeling, financial services, model risk management, AI, credit card fraud, data analysis