Data Scientist I - Forecasting

Key Skills

Agile methodologies, Data science techniques, Domino, Java Programming, Logistic Regression, Monte Carlo Simulation, Neural Networks, Python Programming, R Programming, SAS, SQL

Job Description

USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.

Job Description Summary

Develop and analyze data to predict business results or member behavior. Experienced knowledge in statistics, mathematics, and tools used in predictive modeling. Partner cross-functionally with business to deliver breakthrough analytical solutions to support a winning strategy in a constantly evolving business environment.

This position is a Hybrid position if within a commutable distance in San Antonio, TX, and Charlotte, NC, offices. Remote Opportunity is available for those not located within a commutable distance.

Job Requirements

• Identifies and manages existing and emerging risks that stem from business activities and the job role. 
• Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled. 
• Follows written risk and compliance policies, standards, and procedures for business activities. 
• Partners with other analysts across the organization to fully define business problems and research questions.
• Supports SME's on cross functional matrixed teams to solve highly complex work critical to the organization.
• Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.
• Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization, and other techniques to deliver insights or develop analytical solutions to achieve business objectives.
• Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.
• Works with IT to research architecture for new products, services, and features.
• Develops algorithms and supporting code such that research efforts are based on the highest quality data.
• Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.

Minimum Requirements:

• Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field; OR 6 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
• 4 years of related experience in predictive modeling, large data analysis and computer science.
• Proficient knowledge of the function/discipline and demonstrated application of knowledge, skills, and abilities towards work products.
• Proficient level of business acumen in the areas of the business operations, industry practices and emerging trends.
• Experience in data mining and statistical analysis.
• Knowledge of Data Science principals and experience with data science methodologies.
• Experience with any one of the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.

Preferred Experience:

• Advanced degree in Data Science, Financial Engineering, Statistics, Economics, Engineering, Mathematics, Actuarial Sciences, or related field
• Experience with the development of regulatory models within the banking industry (stress testing, IRR, ALM)
• Strong background in traditional statistical methods as well as machine learning algorithms
• Experience working with account level data covering an extended period
• Comfortable using the capabilities of the Domino platform and developing models in various platforms/languages (Python, R, SAS, etc.)
• Experience with the model risk management process