Statistical Modeling Manager

at Sallie Mae Bank in Newark, Delaware, United States

Job Description

TITLE: Statistical Modeling Manager

Duties: Responsible for performing qualitative and quantitative analysis on the consumer loan portfolio in support of modeling and reporting. Develop statistical models with regressions and machine learning methodology such as gradient booting and neural network on various business areas for consumer loan portfolios. Analyze and provide guidance to management on the appropriate modeling methodology to employ for different business needs and data structures. Design, and implement the model testing and monitoring activities. Ensure model documentation meets internal and regulatory standards. Participate in all stages of model development including model methodology and framework design, data preparation, segmentation, model development, testing, and calibration. Evaluate the business and financial impact of new models. Develop forward looking views of loss expectations of credit card portfolio.

SCHEDULE: 40 hours per week, Monday through Friday

LOCATION: Sallie Mae Bank, 300 Continental Drive, Newark, DE 19713

REQUIREMENTS: Bachelor’s degree in Mathematics, Statistics, or other quantitative field of study like physics and engineering and three (3) years of experience as a Credit Risk Manager, Decision Science Professional Intern, Teaching and Research Assistant, or related occupations in the financial industry related to data analysis and/or statistical modeling. Master’s degree in the above stated fields of study and one (1) year of experience in the above stated occupations. Also requires at least 1 year of experience in the following:

·        Working in a financial services environment including products and services;

·        Performing quantitative analysis or building statistical models using SAS, Python, SQL, or R coding language;

·        Understanding of at least one kind of consumer loan product such as student loan, credit card, or other products; and

·        Presenting quantitative data via PowerPoint, Excel, and Word to business partners or executives.

CONTACT: To apply visit: Search: REQ #: R22_000120.

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Job Posting: 987706

Posted On: Jun 20, 2022

Updated On: Jul 26, 2022