# Credit Risk Modeler

**Company**: Ford Motor Company
**Location**: Chennai, Tamil Nadu
**Work arrangement**: onsite
**Experience**: mid
**Job type**: full-time
**Category**: Finance
**Industry**: Automotive
**Wikidata**: https://www.wikidata.org/wiki/Q44294

**Apply**: https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/73565?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/credit-risk-modeler-70115844-029/

## 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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## Skills

### Required
- Machine Learning
- SQL
- SAS
- Python
- Excel
- PowerPoint
- R
- Statistics
- Predictive modeling
- IFRS 9 models
- Data analysis
- Communication

### Nice to have
- Cloud-based analytical solutions
- Machine learning techniques
- Credit analytics
- Financial analytics

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Source: [Apply at efds.fa.em5.oraclecloud.com](https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/73565?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)