Senior Model Validator - PLANO

We are looking for a candidate with a Bachelor's degree in a quantitative discipline such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or a closely related field with a Core Quantitative Curriculum. Alternatively, an additional four years of relevant experience beyond the minimum required may be accepted in place of a degree. You should have a minimum of six years of pertinent work experience in model validation, model development, statistical analysis, and/or advanced quantitative research. An advanced degree (e.g., Master's or PhD) in a quantitative field can substitute for two years of experience, requiring four years of related work experience in the specified areas. Strong communication skills, both verbal and written, for conveying quantitative and technical concepts to non-technical audiences, senior leadership, auditors, and regulators are essential. Proficiency in programming languages such as R, Python, SAS, Java, C, SQL, or similar is required for the iterative methodological aspects of model and algorithm development. You should have in-depth experience with at least three of the following approaches: Unsupervised Learning, K-Means, Linear Regression, Time-Series/Forecasting, Stress Testing, Logistic Regression, Gaussian Process, Simulation Models, Boosting/Bagging Trees, Neural Networks, and Deep Learning Concepts. A solid understanding of operational functions in Banking and/or Insurance, along with relevant modeling and analytics expertise, is important.