🛠 Tech Stack

💼 About This Role

You'll join a leader in fraud prevention, using ML and data to optimize risk strategies. You'll analyze complex datasets, build dashboards, and collaborate with cross-functional teams to drive fraud reduction and higher approval rates for over 300 banks and fintechs worldwide.

🎯 What You'll Do

• Develop and track metrics to monitor risk product performance.
• Conduct in-depth analyses to uncover fraud reduction insights.
• Build and experiment with ML models for fraud detection.
• Create and automate self-serve dashboards using BI tools.

📋 Requirements

• 7+ years in a data-focused role like product analytics or data science.
• Prior experience in Fraud/Risk domain.
• Hands-on experience in SQL and Python.
• Expertise in BI tools such as Tableau, Sigma, or Metabase.

✨ Nice to Have

• Exposure to building ML models for business challenges.
• Ability to structure data using EDA and cohort analysis.
• Experience in client-facing analytics.

🎁 Benefits & Perks

• 💰 Generous compensation in cash and equity.
• 🏖️ Flexible paid time off and year-end break.
• 🏥 Health insurance, dental, and vision for employees and dependents.
• 💻 MacBook Pro delivered to your door.
• 📚 Annual learning stipend.