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Advanced degree (e.g., Master's, PhD) in a quantitative field, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or Related Field with Core Quantitative Curriculum and 6 years of related work experience in model validation, model development, statistical analysis, and/or advanced quantitative research.
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Subject Matter Depth and Breadth with some of the following statistical, econometric, data science, and predictive modeling approaches: Unsupervised Learning; K-Means; Linear Regression; Time-Series/Forecasting; Stress Testing; Logistic Regression; Gaussian Process; Simulation Models; Boosting/Bagging Trees; Neural Networks; Deep Learning Concepts; Bayesian Estimators.
$158,960 - $303,830 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience in monitoring and tracking emerging trends and best practices in model risk management, and assessing their impact on a portfolio of models or thematically across model risk. Bachelor's degree in a quantitative field, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or a Related Field with Core Quantitative Curriculum.
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They will also have a chance to influence USAA AI/ML future by driving adoptions while leading risk associating with models by following USAA model risk management standards and policies.
$182,680 - $349,150 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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The Decision Science Analyst Lead of Product and Revenue Forecasting will conduct deep-dive analytical research into production trends to support the understanding, management, and strategy of P&C growth, and provide decision support for business areas across the enterprise.
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Experience developing business deliverables that leverage business intelligence platforms, data management platforms, or SQL-based languages (Tableau, Business Objects, Snowflake, Hadoop, Netezza, NoSQL, ANSI SQL, or related.
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