Full-Time Data Analyst

We are looking for a passionate Data Analyst with experience in risk and fraud prevention. The successful candidate is someone who can identify risky patterns and behaviors in customers and turn them into actionable insights through rigorous analysis. You will work closely with Risk Operations, Payments, Growth and Senior Management.

Responsibilities:

• Key performance metrics such as fraud losses, false positives, and operational efficiency
• Deep dive into past and ongoing fraudulent trends and provide data-driven insights to create solutions to problems as well as dashboards for constant monitoring
• Build and maintain fraud features, rules, and models in response to evolving fraud behaviors
• Execute human-in-the-loop reviews to complement automated systems
• Review operational processes and systems and build feedback loops to drive improvements

Requirements:

• Bachelor's degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or a related discipline.
• 3-5 years of work experience as a Data Analyst
• 2+ years of work experience in Risk, Fraud investigations, trust & safety
• Advanced SQL ability
• Strong knowledge of and experience with reporting packages (Looker, Tableau, or similar business intelligence tools), and programming (Python, knowledge of Python ML libraries is a big plus)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information to draw meaningful insights from complex data sets with attention to detail and accuracy
• Adept at queries, report writing, and presenting findings

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