Senior Data Scientist - Risk

📋 Description

• Define architecture and strategy for internal risk systems.
• Define risk metrics, success criteria, and decision frameworks with teams.
• Analyze fraud, scam, and abuse patterns across crypto and fiat.
• Build and maintain reporting on fraud loss, false positives, and friction.
• Design data, instrumentation, and decisioning systems powering risk ops.
• Apply statistical methods and selective ML to improve decisions.

🎯 Requirements

• 5+ years as Data Scientist or similar analytical role.
• Experience with fraud, risk, trust & safety, AML, or compliance analytics.
• Strong SQL and Python proficiency.
• ML techniques: regression, classification, causal inference, or design experiments.
• Experience with cloud data warehouses and tooling (Snowflake, dbt).
• Excellent communication and ability to translate analysis into business decisions.

🎁 Benefits

• Stock options as part of total compensation.
• Yearly salary assessments and growth opportunities.
• Health and dental coverage; wellness spending accounts.
• Remote-friendly: work from anywhere in Canada; offices in Montreal and Toronto.
• $2,000 annual budget for courses, certifications, and training.
• 20 days vacation; $1,000 bonus if you use all vacation.