🛠 Tech Stack

💼 About This Role

You'll drive end-to-end data analysis across fraud, identity, and payments to reduce fraud and revenue leakage. You'll design dashboards and A/B experiments, partnering with Product, Engineering, and Data Science to shape fraud strategy. This remote-friendly role offers autonomy and high impact at a digital marketplace.

🎯 What You'll Do

• Drive end-to-end data analysis across fraud, identity, payments, and reconciliation.
• Monitor and improve KPIs such as fraud costs and chargeback rates.
• Design and maintain dashboards for fraud and operational metrics.
• Design and analyze A/B experiments to evaluate fraud prevention strategies.

📋 Requirements

• 6–8 years in data analytics, preferably in fraud, payments, or risk.
• Strong proficiency in SQL with complex queries and optimizations.
• Experience with Python or R for analytical programming.
• Hands-on experience with Tableau, Looker, or Mode.

✨ Nice to Have

• Familiarity with fraud systems or identity verification tools.
• Advanced degree in a quantitative field.
• Proficiency with AI tools to enhance analytical workflows.

🎁 Benefits & Perks

• 💰 Competitive compensation: CAD $133,000 – $140,500 base salary.
• 🏡 Fully remote Flex First work environment.
• 📈 Equity grants and annual refresh equity awards.
• 🏥 Comprehensive healthcare and wellness benefits.
• 🧠 Continuous learning environment with modern AI-enabled tooling.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Assessment· 60 min
3. 3Hiring Manager Interview· 45 min