Data Scientist - Risk in Canada

Shape the future of fraud prevention as a Staff Data Scientist - Risk at a leading fintech in Canada. Drive data-driven strategies to protect customers and enhance business growth in this remote role. This position calls for an experienced data science leader to innovate risk intelligence within a dynamic fintech. You'll collaborate with engineering, compliance, and operations teams to build comprehensive frameworks and improve risk metrics. Your work will involve analyzing fraud patterns and driving operational efficiency while having a direct influence on strategic decisions. Key Responsibilities: • Lead design of analytical frameworks and risk metrics • Collaborate cross-functionally on scalable risk systems • Analyze fraud patterns and operational inefficiencies • Build reporting frameworks to monitor fraud control effectiveness • Conduct investigations into emerging threats and incidents Requirements: • 8+ years in data science or related roles • Expertise in fraud analytics and financial risk • Proficient in SQL and Python for data workflows • Experience with statistical modeling and machine learning • Effective communication and stakeholder management skills Utilize your data science expertise to enable innovative solutions in risk management within the fintech sector.