- 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 positive 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 si
📌 Credit Risk (Chennai)
🏢 Ford Global
📍 Chennai
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