Job Description

  • Develop and validate credit risk models

  • Enhance the usage of Artificial Intelligence / ML and transform into more efficient solutions.

  • Using GCP, SAS, R, Python, for model building and model validation

  • Continual enhancement of statistical techniques and their applications in solving business objectives

  • Compile and analyze the results from modeling output and translate into actionable insights

  • Prepare PowerPoint presentations and document preparation for the entire credit risk modeling process


  • 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 understand...

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