What You’ll Do

• Own end-to-end analytics workflow, including defining success and performance metrics, socializing them across the organization, and creating actionable dashboards and reports
• Work with data engineers to maintain and update key data pipeline and analytical datasets
• Proactively explore data and identify opportunities to help accelerate product development or improve the existing online identity and fraud decisioning process.
• Evaluate data to track the conversion and fraud impact through experiments and form recommendations.
• Translate analysis results to recommend rule creation and implementation and partner with Machine Learning team on building new fraud strategies
• Support new product formation and new vertical exploration under Trust and Safety area

What We Look For

• EXPERIENCE - 1 - 2.5/3 years of prior analytical experience in fraud/identity or credit at a payments or financial company.
• Able to thrive in a fast-paced environment and be responsive and available during times of peak fraud activity
• TECHNICAL SKILLS - Fluent in SQL; hands-on experience with Python
• COMMUNICATION - Ability to communicate findings and recommendations clearly to both technical and non-technical audiences
• MULTI-TASKING - Strong time management skills and the ability to manage multiple projects and priorities
• EDUCATION - Bachelor’s degree in a quantitatively rigorous discipline like engineering, statistics, math, finance, economics desired
• RISK KNOWLEDGE  - Working knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with risk strategy development.

USA Pacific base pay range (CA, WA, NY, NJ, CT): $121,000 - $175,500
USA Sapphire base pay range (all other U.S. states): $108,900 - $157,900

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