Why USAA
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. Be part of what truly makes us special and impactful.
The Opportunity
As Data Scientist Senior Risk Data and Analytics you will be responsible for developing AI models using machine learning deep learning and natural language processing particularly transformer models and Generative AI. Your expertise will be instrumental in developing and implementing predictive modeling solutions for the risk and compliance organization enabling them to proactively identify and mitigate risks.
The Data Scientist Senior will design and implement data mining and natural language processing (NLP) algorithms including Generative AI models to extract valuable information from unstructured text data. In addition develop machine learning models for forecasting regression classification clustering and advanced statistical analysis.
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 Plano TX. Relocation assistance is not available for this position.
What youll do:
- Gathers interprets and manipulates structured and unstructured data to enable advanced analytical solutions for the business.
- Develops scalable automated solutions using machine learning simulation and optimization to deliver business insights and business value.
- 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 and assists peers with composing technical documents for knowledge persistence risk management and technical review audiences.
- Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts.
- Builds and maintains a robust library of reusable productionquality algorithms and supporting code to ensure model development and research efforts are transparent and based on the highest quality data.
- Translates complex business request(s) into specific analytical questions completes the analysis and/or modeling and then communicates outcomes to nontechnical business colleagues with focus on business action and recommendations.
- Manages project breakthroughs risks and impediments. Raises potential issues that could limit project success or implementation.
- Develops standard processes for engaging with Data Engineering and IT to deploy productionready analytical assets consistent with modeling practices and model risk management standards.
- Maintains expertise and awareness of groundbreaking techniques. Actively seeks opportunities and materials to learn new techniques technologies and methodologies.
- Serves as a coach to junior data scientists in modeling analytics and computer science tasks.
- Participates in internal communities that drive the maintenance and transformation of data science technologies and culture.
- 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:
- Bachelors degree in mathematics computer science statistics economics finance actuarial sciences science and engineering or other similar quantitative field; OR 4 years of experience in statistics mathematics quantitative analytics or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
- 6 years confirmed experience in a predictive analytics or data analysis OR Advanced Degree (e.g. Masters PhD) in mathematics computer science statistics economics finance actuarial sciences science and engineering or other similar quantitative subject area and 4 years of experience in predictive analytics or data analysis.
- 4 years proven ability in training and validating statistical physical machine learning and other advanced analytics models.
- 4 years of experience in one or more dynamic scripted language (such as Python R etc. for performing statistical analyses and/or building and scoring AI/ML models.
- Proven experience writing code that is easy to follow well documented and commented where necessary to explain logic (high code transparency).
- Strong 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 semistructured and unstructured data files such as delimited numeric data files JSON/XML files and/or text documents images etc.
- Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts.
- Advanced 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.
- Experience guiding and mentoring junior technical staff in business interactions and model building.
- Knowledge of presenting analytical and modeling results to nontechnical business partners with emphasis on business recommendations and actionable applications of results.
What sets you apart:
- Proven experience using transformer methods to build NLP models which extract pertinent information from unstructured text.
- Strong experience in technical writing specifically with preparing detailed AI model documentation.
- Solid experience with Generative AI models.
- US military experience through military service or a military spouse/domestic partner.
Compensation range: The salary range for this position is: $143320.00 $273930.00.
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.
Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.
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.
Benefits: At USAA our employees enjoy bestinclass 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 visit our benefits page on USAAjobs.
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.