Data Scientist, Model Validation
1, Complexe Desjardins, Montréal, Canada
CAD 91K-132K (estimate) Mid-level Full Time
Tasks
- Advise and train teams on validation methods
- Analyze business model suitability
- Anticipate impacts of model and rules changes
- Apply statistical machine learning and artificial intelligence validation methods
- Assess data quality and processing
- Develop evaluate and manage machine learning models
- Draft guidelines for model validation methods
- Ensure regulatory compliance for property and casualty insurance
- Monitor industry trends in model validation
- Optimize rules and systems
- Validate predictive models
Perks/Benefits
- Defined benefit pension plan
- Flexible vacation
- Group insurance
- Health and wellness reimbursement
- Hybrid work
- Telemedicine
- Telework equipment reimbursement
Skills/Tech-stack
Anomaly Detection | Artificial Intelligence | Auto insurance | Bornhuetter Ferguson | Capital modeling | Cat modeling | Chain Ladder | Commercial Insurance | Data Quality | Elasticity Modeling | Elasticity analysis | Fraud Detection | Frequency Severity | Frequency Severity Modeling | Generalized Additive Models | Generalized Linear Models | Home Insurance | IFRS 17 | Insurance pricing | Insurance reserving | Linear Models | Loss Management | Machine Learning | Mack Model | Model Risk Management | Model risk | Predictive Modeling | Propensity Modeling | Python | R | Retention modeling | Risk Management | Risk aggregation | SAS | SQL | Statistical modeling | Underwriting
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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