7+ years of hands-on risk experience in e-commerce or financial services.
4+ years of direct experience combating account takeover (ATO) and scams in a Fraud, Trust & Safety, Risk, or Account Security role.
Strong analytical skills, with a proven ability to analyze large datasets and drive investigations from raw data.
Professional experience using SQL and Python.
Proficiency with business intelligence and data visualization tools (e.g., Looker, Tableau, etc).
Proven ability to independently scope and deliver complex analytics projects while collaborating effectively with cross-functional partners.
Excellent communication skills with a knack for storytelling; able to turn data into actionable insights for stakeholders at all levels.
An understanding of blockchain analytics and/or fraud trends within the cryptocurrency ecosystem.
Experience mentoring junior analysts or providing technical guidance on complex projects.
BA/BS degree in a quantitative field (ex Math, Stats, Physics, or Computer Science) or equivalent practical experience.
Demonstrates our core cultural values: clarity, positive energy, continuous learning, and efficient execution.
Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.