Financial Credit Risk Modeler
Tasks
- Analyze modeling outputs and derive insights
- Apply statistical techniques to business objectives
- Build and deploy generative AI tools
- Build and deploy large language model applications
- Collaborate with modelers to understand workflows
- Conduct analytics special studies and ad hoc analyses
- Create PowerPoint presentations and documentation
- Develop and validate credit risk models
- Enhance machine learning solutions
- Ensure AI security and governance compliance
- Evaluate new tools and technologies
Perks/Benefits
Skills/Tech-stack
ANCOVA | ANOVA | CART | CHAID | Cluster Analysis | Credit Risk | Credit risk modeling | Data Privacy | Data Security | Excel | Exposure at Default | GCP | Generative AI | Language Models | Large Language Models | Linear Regression | Logistic Regression | Loss Given Default | Machine Learning | PowerPoint | Predictive Modeling | Probability of Default | Python | R | Risk Modeling | SAS
Education
Bachelor of Science | Master of Engineering | Master of Science
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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