Credit Risk Modeler
Ford
Potential candidates should have knowledge in general math modeling, Machine Learning (ML) and related Operations Research
(OR) and simulation techniques. Candidates should have hands-on experience in developing quantitative models. They should
possess the ability to translate a business problem into an analytical problem, recommend, implement and validate quantitative
models, and generate/deliver insights to stakeholders. Preference would be given to candidates that are intellectually curious,
innovative thinkers, and have demonstrated ability to solve problems independently.
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