
Credit Risk Modeler
1 week ago
**Job Description & Qualifications**
**Roles & Responsibilities**
- Develop and validate credit risk models
- Using SAS, R, Python for model building and model validation
- 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)
**Skills/Knowledge required**
- 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.
- 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 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
**Auto req ID**
- 62188BR
**Entity/Organization**
- FGBS- Ford Global Business Services
**Area of professional exposure (technical skills)**
- Financial Modeling
- Statistical Modeling
- IFRS9 Modeling
- SAS Programming
**Education Qualifications**
- B.E., M.Sc, MBA
**No. of years of experience**
- 1 to 3 years
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