Description
We are seeking a Credit Risk Modeler to join our Global Data Insights and Analytics (GDI&A) department at Ford Motor Company. As a Credit Risk Modeler, you will develop credit risk models for Ford Credit team.
Responsibilities:
- Support credit risk analytics activities across model development, independent validation, monitoring, and business reporting.
- Conduct data extraction, reconciliation, quality checks, and analytical review using tools such as SQL, SAS, Python, Excel, and PowerPoint.
- Translate analytical findings into clear insights and communicate results to stakeholders.
- Maintain clear documentation of analysis, validation observations, reporting logic, assumptions, and key findings.
- Assist in the development and enhancement of IFRS 9 models.
- Perform independent validation activities.
- Analyze portfolio trends, credit risk drivers, and model performance indicators.
- Execute recurring business reports and management information packs.
Qualifications:
- Master's degree in Finance, Financial Engineering, Analytics, Mathematics, Computer Science, Statistics, Industrial Engineering, Operations Research, or related field.
- Knowledge of probability of default (PD), LGD, and EAD modeling techniques.
- Understanding of predictive modeling techniques and their application.
- Experience with statistical methodologies.
- Programming skills in R, SAS, and Python.
- Fluency with Excel, PowerPoint, and Word.
- Strong written and oral presentation skills.
- Experience with developing and implementing cloud-based analytical solutions.
Preferred Qualifications:
- 3-5 years of experience in the banking and financial services industry.
- Experience in credit analytics and financial analytics.
- Exposure to machine learning techniques.
Benefits:
- No specific benefits mentioned.
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