Modeling - Risk Modeler I - P1

Position Summary

This position is a part of the Modeling Department. Our goal is to analyze a large volume of data by using advanced analytics to find trends and answer questions to support business processes and systems. Our data professionals are tasked with creating efficient data analysis pipelines, data mining, statistical analysis, and creating powerful visualizations to support the business in their day-to-day decision-making.

The Risk Modeler I performs analysis performs analysis, design, development, and optimization activities to create an analytical solution to support the team’s efforts to estimate the Current Expected Credit Loss, the Bank’s accounting reserve. The team works at the nexus of Risk Management and Treasury and Finance to estimate and deliver CECL to end users including the Bank’s executives.

Summary of Essential Job Functions

• Participate in the monthly reporting of CECL including pulling of loan data, execution of code estimating expected credit loss, aggregation of results from multiple sources, execution and application of qualitative management adjustments, and reconciliation or results.
• Back testing of historical CECL and expected credit loss results to estimate the accuracy of the current model and the development of qualitative management adjustments to account for defined inaccuracies.
• Acquisition and deployment of macroeconomic data testing for relevancy and accuracy of the forecasts including analysis of trends, variances, and scenario analysis.
• Conduct analysis, including segmentation analysis, of loan portfolio and expected credit loss results producing metrics relevant to the performance of the portfolio and the Bank.
• Production of tables, figures, and PowerPoint presentations illustrating the portfolio performance and expected credit loss history for an executive audience.
• Conduct model monitoring of the current CECL model.
• Prepare documentation describing the development, conceptual soundness, and accuracy of qualitative management adjustments, new model developments, as well as policies and procedures, and submit the documentation to model validation for review.
• Participate in financial risk management, advisory, and audit engagement assistance related to expected credit loss implementation.

Position Requirements

• Minimum Bachelor’s degree in mathematics, statistics, economics, data science, financial engineering or another quantitative field.
• Understanding of risk management and predictive modeling. Experience with cloud computing a plus.
• Programming experience required. Familiarity with SAS/SQL, R or Python preferred.
• Experience in business analysis, quantitative analytics, and data science.
• Working knowledge of analytical techniques including regression analysis and predictive analytics.
• Organizational and prioritization skills to manage multiple, competing priorities.
• Strong analytical skills and creativity.
• Ability to work independently and to adapt to new situations.
• Excellent communication skills both written and verbal.
• Ability to innovate and find creative solutions to meeting business goals.

Preferred:

• Direct experience developing and implementing CECL or loss forecasting models preferred.
• Experience in consumer credit card industry preferred.