Data Scientist - Fraud Post Sales

Responsibilities

• Champion a data-first approach across internal teams and client engagements, promoting clarity and impact.
• Build and deploy machine learning models to prevent fraud across diverse fintech use cases.
• Use data and models to support the development of risk mitigation strategies and interventions while preserving and improving the user experience.
• Work directly with clients to understand challenges and deliver high-impact, data-driven solutions.
• Evolve our risk metrics, the supporting datasets, and how we measure the causal impact of initiatives.
• Collaborate with engineering to scale models into production and optimize performance.

Requirements

• 5+ years of experience in data science or quantitative modeling, ideally in risk or fraud contexts.
• Strong working knowledge of Python, R, Spark, SQL, or equivalent.
• Sharp critical thinking and creative problem-solving skills with a bias toward action.
• Proven ability to explain complex technical findings to non-technical stakeholders and clients.

Benefits

• Generous compensation in cash and equity.
• Early exercise for all options, including pre-vested.
• Work from anywhere: Remote-first Culture.
• Flexible paid time off and Year-end break.
• Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific.
• 4% matching in 401k / RRSP - US and Canada specific.
• MacBook Pro delivered to your door.
• One-time stipend to set up a home office — desk, chair, screen, etc.
• Monthly meal stipend.
• Monthly social meet-up stipend.
• Annual health and wellness stipend.
• Annual Learning stipend.