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We are looking for an Risk Analyst to join our cross-functional spam & fraud fighting efforts. Analysts on our Risk Team specialize in identifying fraud patterns, working on advanced automated prevention mechanisms, creating and tracking fraud & spam metric; as well as creating, insightful, accurate and data driven policies and review methodologies with an emphasis on automation. Our goal is to make things easy for our growing community of users while protecting our system from abuse and fraud.
Responsibilities
Design and write automated rules to prevent fraud, spam and other abuse on the platform
Test and track rule performance
Identify incidents and patterns of abuse using various techniques and data analysis tools
Create and implement fraud and spam policies
Research spam, fraud and user behavior to contribute to machine learning models, rules and other detection systems
Collaborate with analysts, operations specialists, data scientists and engineering to create tools, rules and prevention mechanisms
Solve complex problems by gathering and distilling web, financial, and behavioral data into actionable findings
Maintain and improve fraud and spam metrics, as well as track, analyze and communicate these metrics
Maintain strong domain knowledge of the worlds of spam and fraud including prevention techniques and technologies
Requirements
3+ years of analytics experience or a related technical discipline
Master of SQL and Excel (MySQL/Hive preferred)
Proficiency in at least one data analysis or scripting language: Python, R, Matlab, etc.
Familiarity with Internet technologies and protocols
The ability to think quickly and learn even faster
Ability to work well in a highly collaborative environment
A proven ability to formalize complex ideas and process into a well defined logic
Strong interpersonal, verbal, and written communication skills
