Jersey City, NJ30 days ago
Skills Required: This position requires experience with the following: conducting model development, risk management, underwriting, or portfolio performance analysis for credit card portfolios, mortgage products, or auto services loans within the financial services industry; building, validating, and interpreting logistic regression and Linear Regressions models using real-world data that is collected from actual events, processes, or observations in daily situations rather than generated from idealized, simulated environments; assessing projects where models were used for classification and regression tasks, evaluating the model's metrics, and assessing how the results were applied to drive business decisions; implementing machine learning solutions end-to-end, including data preprocessing, algorithm selection, model training, and deployment in a production or research setting; time series modeling, including trend, seasonality, and forecasting analyses; programming in R or Python to perform data analysis, model development, or automation of analytical processes; formulating hypotheses, selecting modeling techniques, back-testing predictions, and documenting performance metrics to ensure robustness and regulatory compliance; applying Xgboost to improve model predictive performance; applying hyperparameter optimization techniques and applying explainability methods to assess feature importance, including using Shapley values for model interpretability; applying ensemble methods such as Random Forest for classification or regression. The employer will alternatively accept a Master's in Aeronautics and Astronautics, Engineering (any), Statistics, Computer Science, Mathematics or related field of study plus three (3) years of experience in the job offered or as Quantitative Modeling Lead, Research Assistant, or related occupation.