DESCRIPTION:

Duties: Evaluate conceptual reasonableness of assumptions, reliability of inputs, completeness of testing, and correctness of implementation associated with development and use of the model. Review proposed enhancements to existing models, extensions to scope of usage for existing models, or provide specific approvals. Liaise with various stakeholders including Model Developers and Users (Risk, Finance, Operations, and Marketing), MRGR, Fair Lending, Technology, Control teams, Internal Audit, and Bank regulators. Maintain model risk controls for the CCB models and serve as first point of contact to identify and escalate issues to ensure that their resolutions are sound and timely. Manage accuracy of model inventory. Conduct ongoing model performance monitoring. Model change control. Participate in discussions with regulators on model risk. Keep up with the latest developments in CCB/industry in terms of modeling techniques (advanced AI/ML methodologies), products, markets, models, risk management practices, and industry standards. Contribute to various process enhancement initiatives for innovations/automation.

QUALIFICATIONS:

Minimum education and experience required: Master's Degree in Mathematical Finance, Statistics, Mathematics, Operations Research, Physics, or other quantitative science or related field of study. plus three (3) years of experience in the job offered or as Quantitative Modeling Lead, Model Risk, Quantitative Model Validation, Business Intelligence, or related occupation. The employer will alternatively accept a Bachelor’s Degree in Mathematical Finance, Statistics, Mathematics, Operations Research, Physics, or other quantitative science or related field of study and five (5) years in the job offered or as Quantitative Modeling Lead, Model Risk, Quantitative Model Validation, Business Intelligence, or related occupation.

Skills Required: Requires experience in the following: Performance measurement in the financial services industry and translating quantitative information into actionable insights that can be leveraged by both analytic and non-analytic staff; designing and developing interactive Excel and Powerpoint reports with advanced functionalities including vlookup, index match, data analysis add-ons, pivots, VBA and VBScript; developing and maintaining dynamic and interactive dashboards using Tableau or Qlik Sense leveraging advanced visualization, ETL automation and ODBC connectors; automating the production of recurring-reports and dashboards using ETL techniques, SQL and Robotic Process Automation techniques like UiPath; Performing data manipulation, data structuring, data design flow and query optimization using programming language such as SQL using CTE, Windows functions, DynamicSQL and Python; Utilizing advanced techniques to process large data sets using data containers, multithreading, multiprocessing in PySpark and Tensorflow; Performing statistical analysis using machine learning methods like logistic regression, multivariate regression, classification techniques, attribution, cohort analysis, associative rule mining and predictive modeling; Model development or Model Validation in Financial Institutions surrounding Time-Series Forecasting; Machine learning modeling methodologies, including Neural Network and XGBoost using SAS, R-programming and SQL.

Job Location: 545 Washington Boulevard, Jersey City, NJ 07310. Telecommuting permitted up to 40% of the week.

Full-Time. Salary:  $164,800 - $210,000 per year.