Principal Data Scientist (Model Risk Management)

Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization. Responsibilities Conduct model validations including evaluating model conceptual soundness, assessing data appropriateness, reviewing statistical and analytical testing, outcome evaluation and performance monitoring Provide subject matter expertise to identify models’ key assumptions, limitations and weaknesses, and recommend practical solutions to mitigate model risk Develop benchmark/challenger models to assess strength of model under review Prepare and present clear, thorough reports to model developers and model owners explaining the analysis performed, results of the analysis and recommendations for improvement Design, develop, and evaluate large and complex predictive models and advanced algorithms if needed Test hypotheses/models, analyze, and interpret results Develop actionable insights and recommendations Develop and code complex software programs, algorithms, and automated processes Use evaluation, judgment, and interpretation to select right course of action Work on problems of diverse scope where analysis of information requires evaluation of identifiable factors Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets Transform data into charts, tables, or format that aids effective decision making Utilize effective written and verbal communication to document analyses and present findings analyses to a diverse audience of stakeholders Develop and maintain strong working relationships with team members, subject matter experts, and leaders Lead moderate to large projects and initiatives Model best practices and ethical AI W...