Staff Data Scientist - Risk

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

This is an exciting opportunity for an experienced data science leader to shape the future of risk intelligence and fraud prevention within a fast-growing fintech environment. In this role, you will work at the intersection of analytics, product strategy, and risk operations, helping build scalable systems that protect customers while enabling sustainable business growth. You’ll collaborate closely with engineering, compliance, operations, and security teams to develop data-driven decision frameworks and improve risk infrastructure. The position offers high ownership, strategic influence, and the chance to solve complex challenges in an evolving industry. Ideal candidates thrive in ambiguity, enjoy translating data into impactful decisions, and are passionate about building scalable analytical practices. This remote role also provides the flexibility to work from anywhere in Canada while contributing to meaningful innovation in financial technology.

Accountabilities

* Lead the design and evolution of analytical frameworks, risk metrics, and decision-making models to support fraud prevention and operational efficiency.

* Partner cross-functionally with engineering, compliance, security, operations, and product teams to define scalable risk systems and improve customer protection strategies.

* Analyze fraud patterns, scams, abuse trends, and operational inefficiencies across financial and digital product ecosystems.

* Build dashboards, reporting frameworks, and monitoring systems to track fraud loss, false positives, customer friction, and control effectiveness.

* Evaluate and optimize risk controls through statistical analysis, experimentation, and selective machine learning applications.

* Conduct deep-dive investigations into incidents and emerging threats, translating findings into actionable business recommendations.

* Establish analytical standards, data quality practices, and scalable processes that improve decision-making across the risk organization.

* Influence long-term roadmap planning by identifying opportunities to improve automation, tooling, and operational workflows.

Requirements

* 8+ years of experience in data science, decision science, analytics, or related quantitative roles.

* Strong expertise in fraud analytics, trust & safety, AML, compliance analytics, or financial risk management environments.

* Advanced proficiency in SQL and Python for large-scale analytical workflows and data modeling.

* Experience applying statistical modeling and machine learning techniques such as regression, classification, experimentation, or causal inference.

* Strong understanding of modern cloud-based data ecosystems and analytical tools such as Snowflake, dbt, or similar platforms.

* Proven ability to work effectively in fast-paced, ambiguous environments with high ownership and evolving priorities.

* Excellent communication and stakeholder management skills, with the ability to present complex insights clearly to technical and non-technical audiences.

* Demonstrated ability to influence cross-functional teams and align analytical initiatives with broader business goals.

* Interest or experience within fintech, payments, cryptocurrency, or regulated industries is highly valued.

* Strong problem-solving mindset, business judgment, and ability to balance customer experience with operational risk management.

Benefits

* Competitive compensation package with base salary and equity opportunities.

* Comprehensive health, dental, and wellness coverage.

* Fully remote work flexibility across Canada.

* Annual learning and development budget for certifications, training, and career growth.

* Generous paid vacation policy with additional incentives for utilizing time off.

* Parental leave top-up benefits.

* Regular team offsites and collaborative company events.

* Yearly salary reviews and performance-based growth opportunities.

* Opportunity to work on high-impact projects in an innovative and rapidly evolving industry.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.