Credit Risk Modeler

6 days ago


Chennai, India Ford Motor Company Full time

Potential candidates should have knowledge in general math modeling, Artificial Intelligence and GCP. 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.   Masters in Finance, Financial Engineering, Analytics or Mathematics, Computer Science, Statistics, Industrial Engineering, Operations research, or related field.  Good understanding of Probability of Default (PD), LGD and EAD modeling technique. Proven hand-on experience in Artificial Intelligence and extensive experience in GCP . Very good understanding of Predictive modeling techniques and their application. Knowledge of Credit life cycle Statistics and machine learning techniques. Conducted and applied statistical methodologies including linear regression, logistic regression, ANOVA/ANCOVA, CHAID/CART, cluster analysis Team player and collaboration skills. Programming skills in GCP, R, SAS, and PYTHON. Fluency with Excel, PowerPoint and Word  Strong written and oral presentation / communication skills – must have the ability to convey complex information simply and clearly Experience with developing and implementing cloud based analytical solutions in GCP or similar set up. Masters in Mathematics/Statistics/Economics/Engineering or any other related discipline or a track record of performance that demonstrate this ability Practical applications of mathematical modeling and Artificial Intelligence undefined


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