Data Scientist (Credit Risk Modelling)
Tasks
- Analyze credit risk components interaction
- Apply machine learning forecasting
- Build statistical predictive models
- Collaborate with business and technology teams
- Design credit risk models
- Develop credit risk models
- Implement analytics solutions in production
- Maintain credit risk models
- Produce model development documentation
- Translate analytics into insights
- Validate credit risk models
Perks/Benefits
- Flexible group benefits
- Hybrid work options
- Learning and development opportunities
- Performance-based incentive
- Wellness programs
Skills/Tech-stack
Credit Risk | Credit risk modeling | Data Analysis | Economic Capital | Exposure at Default | Forecasting | IFRS 9 | Internal Ratings | Loss Given Default | Machine Learning | Power BI | Probability of Default | Python | R | Risk Modeling | SAS | SQL | Statistical modeling
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
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