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Quantitative Modeling Analyst III (Job code: QMA-AL)

Zions Bancorporation

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At a glance

Compensation
No compensation found
Location
Remote · US
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Master's degree

Job overview

Zions Bancorporation seeks a Quantitative Modeling Analyst III to perform statistical and machine learning modeling and data engineering. The analyst develops and validates credit loss and forecasting models, builds tools to automate model training and inference, and analyzes model outputs for business and risk management decisions. The role also involves communicating findings to stakeholders and collaborating with subject matter experts.

Skills & qualifications

RequiredNice to have

Skills

Statistical ModelingMachine LearningData EngineeringPythonRSASSQLCredit Loss ModelingForecastingMLOpsPresentation SkillsStakeholder Communication

Qualifications

Master's in Economics, Statistics, Computer Science, Data Science, or Related Field2 Years Related Experience

Full job description

Perform statistical and machine learning modeling and data engineering tasks in Python, R, SAS and SQL. Develop, test and validate credit loss models and forecasting models. Develop machine learning models to analyze customer behavior, reduce customer attrition and increase customer engagement. Build and apply the machine learning operations (MLOPs) tools to automate and accelerate model training and model inference. Run forecasting models and analyze inputs and outputs to support business and risk management decisions. Prepare presentations to communicate model drivers and findings to stakeholders. Collaborate with subject matter experts to capture and incorporate key drivers in models. Document model development and monitoring processes. Telecommuting permitted. Position requires Master's degree or foreign equivalent in Economics, Statistics, Computer Science, Data Science or other related field plus 2 years of related experience. Send resumes to Zions Bancorporation at [email protected]. Must reference job title and job code in subject line.

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