Credit Risk - (Chennai, Tamil Nadu, India)

- 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 - Collaborate, Support, Advise and Guide in development of the models - Acquire and share deep knowledge of data utilized by the team and its business partners - Participate in global conference calls and meetings as needed and manage multiple customer interfaces - Execute analytics special studies and ad hoc analyses - Evaluate new tools and technologies to improve analytical processes  - Set own priorities and timelines to accomplish projects (accountability for project deliverables) - 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