- Note: Internal candidates are requested to apply using their external CV. Applications submitted without an external CV will not be considered for further processing

- 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

- Solid 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.

📌 Credit Risk Modeler (Chennai)
🏢 Ford Global
📍 Chennai