Sr. Data Scientist, Fraud Intelligence
CN-Yonge Sheppard Center, Canada
CAD 107K-157K Senior-level Full Time
Tasks
- Automate fraud triage workflows
- Build fraud KPI dashboards
- Build production machine learning models
- Collaborate with product engineering compliance finance
- Conduct incident response and root cause analysis
- Deploy real time fraud scoring pipelines
- Design fraud detection systems
- Integrate machine learning models with rules engines
- Mentor junior analysts in fraud modeling
- Optimize fraud decision thresholds
- Perform model validation and testing
Perks/Benefits
- Dental insurance
- Health insurance
- Personal Time Off
- RRSP matching
- Stock options
- Vision insurance
- Volunteer time off
Skills/Tech-stack
A/B | A/B Testing | Anomaly Detection | B testing | Classification | Cloud Computing | Data Pipelines | Drift monitoring | Feature Engineering | Fraud Detection | Graph-based | Graph-based fraud detection | MLOps | Machine Learning | Model Drift | Model Monitoring | Model drift monitoring | Model versioning | Network Analysis | Precision Recall Analysis | Precision-recall | Production Deployment | Python | Real Time | Real-time Scoring | Rules Engines | SQL | Snowflake | Threshold Optimization
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
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