Description
We are looking for a skilled Credit Risk Modeler to design, develop, validate, and optimise credit risk models across the customer credit lifecycle. The successful candidate will apply advanced statistical techniques, machine learning methodologies, and artificial intelligence solutions to generate actionable business insights and improve risk decisioning processes.
The ideal candidate will possess solid quantitative skills, experience in Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) modelling, and the ability to communicate complex analytical findings to both technical and business stakeholders.
Experience with cloud-based analytical platforms, particularly Google Cloud Platform (GCP), is highly desirable.

Responsibilities
- Develop, enhance, and validate credit risk models, including PD, LGD, and EAD models.
- Apply advanced statistical, machine learning, and artificial intelligence techniques to improve model performance and business outcomes.
- Build and validate analytical solutions using GCP, Python, SAS, SQL, and R.




- Analyse modelling outputs and translate findings into actionable business recommendations.
- Continuously improve modelling methodologies and analytical processes.
- Prepare comprehensive model documentation, reports, and executive-level presentations.
- Collaborate with cross-functional teams to support model development, implementation, and governance activities.
- Provide analytical guidance and subject matter expertise to stakeholders and business partners.
- Participate in global meetings and effectively manage interactions with multiple stakeholders.
- Execute ad hoc analyses and special studies to address business needs.
- Evaluate emerging technologies, tools, and methodologies to enhance analytical capabilities.
- Manage priorities and deliver projects within established timelines and quality standards.

Qualifications
Required
- Master's degree in Finance, Financial Engineering, Math

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