Staff Data Scientist - Fintech Risk

Enhance fraud protection strategies as a Staff Data Scientist - Risk at a growing fintech in Canada. This remote role combines analytics and risk operations to bolster customer safety and business growth.

We are looking for a data science leader who excels in crafting data-driven decision frameworks. You will closely partner with product and engineering teams to design scalable risk systems while analyzing fraud trends across digital platforms. This role provides high ownership and the chance to influence complex challenges in a rapidly evolving industry.

Key Responsibilities:

• Develop analytical frameworks and decision-making models
• Partner with teams to define customer protection strategies
• Investigate fraud patterns and operational inefficiencies
• Create dashboards to track fraud loss and control effectiveness
• Optimize risk controls through analysis and machine learning

Requirements

• 8+ years in data science or analytics
• Strong background in fraud analytics and compliance
• Expertise in SQL and Python programming
• Familiarity with cloud-based data tools like Snowflake
• Strong problem-solving and communication skills

Drive meaningful innovation in risk management and customer protection in a fully remote position.