Senior Data Scientist - Risk in Canada Creek, Nova Scotia at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Scientist - Risk in Canada.

This role sits at the heart of a newly formed risk function focused on building the next generation of fraud detection, risk measurement, and decisioning systems within a fast-growing fintech environment. You will help define how risk is understood, tracked, and acted upon across crypto and fiat products, with a strong emphasis on data-driven decision-making. Working closely with engineering, product, security, and compliance teams, you will transform complex risk signals into clear insights that guide strategy and operations. The position combines deep analytical work with system-level thinking, helping shape foundational data infrastructure and risk frameworks. You will play a key role in balancing fraud prevention, customer experience, and operational efficiency. This is a high-impact opportunity to influence how risk is managed at scale in a rapidly evolving financial ecosystem.

• Partner with engineering teams to define the architecture and technical strategy for risk systems, data infrastructure, and decisioning frameworks.
• Collaborate with Risk, Product, Security, Compliance, and Operations teams to define risk metrics, success criteria, and analytical frameworks.
• Analyze fraud, scam, and abuse patterns across crypto and fiat platforms to identify emerging risks and vulnerabilities.
• Build and maintain dashboards and reporting systems tracking fraud loss, false positives, customer friction, and operational efficiency.
• Design and improve data instrumentation, risk controls, and decisioning systems supporting fraud prevention workflows.
• Conduct deep-dive investigations into incidents, anomalies, and evolving threat patterns to generate actionable insights.
• Evaluate risk rules and controls using statistical methods and selective machine learning techniques to improve decision quality.
• Communicate findings and recommendations clearly to senior stakeholders and cross-functional partners.
• Help establish data standards, analytical frameworks, and best practices within the risk organization.
• Support the translation of analytical insights into product, engineering, and operational improvements.

• 5+ years of experience in Data Science, Decision Science, or a similar analytical role.
• Experience in risk, fraud, trust & safety, AML, compliance, or related domains is strongly preferred.
• Strong proficiency in SQL and Python for data analysis and modeling.
• Experience with statistical methods, experimentation, causal inference, regression, classification, or decision modeling.
• Ability to apply machine learning techniques selectively to improve signal detection and decision quality.
• Strong experience working with modern data stacks such as Snowflake, dbt, or similar tools.
• Proven ability to translate complex analysis into clear business and product recommendations.
• Strong communication skills with experience influencing cross-functional stakeholders.
• Ability to thrive in ambiguous, fast-moving environments with evolving priorities.
• Strong ownership mindset with excellent problem-solving and critical thinking skills.
• Interest or experience in fintech, crypto, payments, or regulated industries is an asset.

• Competitive compensation package including base salary, equity, and performance-based adjustments.
• Remote-first work environment with flexibility across Canada.
• Comprehensive health, dental, and wellness coverage, including spending accounts.
• Annual learning and development budget ($2,000) for training, courses, and certifications.
• 20 days of paid vacation plus additional financial bonus if vacation is fully used.
• Parental leave top-up providing up to 100% salary for 18 weeks.
• Stock options ensuring employees participate in company ownership.
• Annual salary review and performance-based growth opportunities.
• Flexible, collaborative culture focused on impact over hierarchy.
• Company-wide and team offsites to foster connection and collaboration.