Data Scientist, Validation of Financial and AI Models
CAD 81K-115K (estimate) Mid-level Full Time
Tasks
- Advise and train teams on model validation
- Assess model robustness performance stability explainability
- Conduct statistical and machine learning validation testing
- Detect algorithmic bias and model drift
- Develop and evaluate machine learning models
- Draft model governance documentation
- Ensure data quality and processing for modeling
- Mine and prepare data from multiple sources
- Monitor industry trends in model validation
- Validate predictive models
- Validate risk and financial valuation models
Perks/Benefits
- Flexible vacation
- Group insurance
- Health and wellness reimbursement
- Pension plan
- Telemedicine
- Telework equipment reimbursement
Skills/Tech-stack
Anomaly Detection | Artificial Intelligence | Basel Regulations | C++ | Credit Risk | Credit Scoring | Credit risk modeling | Decision Optimization | Economic Capital | Expected Credit Loss | Exposure at Default | Generative AI | IFRS 9 | LCR | Language Models | Language Processing | Large Language Models | Loss Given Default | Machine Learning | Model Explainability | Model Monitoring | Model Validation | Natural Language | Natural Language Processing | Probability of Default | Python | R | Recommendation Systems | Risk Modeling | SAS | SQL | Speech Recognition | Statistical modeling | Stress Testing | Time Series
Education
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