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
