Manager, Data Analytics
Tasks
- Apply data science and analytics to fraud prevention
- Build analytical frameworks
- Design and evaluate product experiments
- Develop fraud metrics and KPIs
- Formulate hypotheses
- Investigate data quality issues
- Lead and develop analysts
- Leverage AI tools for analytics acceleration
- Manage analytical roadmap and priorities
- Own fraud analytics performance evaluation
- Partner with program and product teams on fraud roadmaps
- Support SQL based analyses
- Translate analytical findings into recommendations
Perks/Benefits
- Continuing education
- Disability insurance
- Employee stock purchase plan
- Health benefits
- Life insurance
- Mental health benefits
- RRSP plan
- Travel benefits
- Vacation
Skills/Tech-stack
A/B | A/B Testing | B testing | Data Visualization | Forecasting | LLM | Machine Learning | Probability | Python | R | SQL | Statistical Analysis
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Regions
Countries
States
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