Analyze emerging trends, conduct complex data analyses and identify new signals to develop solutions for scaled enforcement. Develop a deep understanding of abuse in messaging, current cross-product workflows and available intelligence.
Translate abuse protection requirements into data modeling initiatives and build prototypes.
Collaborate with Engineering, Product Managers, Program Manager groups to develop requirements documents based on robust data analysis and granular product understanding.
Perform active threat monitoring, identify gaps in abuse detection and constantly update abuse rules based on evolving patterns. Create real-time awareness of threats and educate clients to reduce the problem upstream.
Lead projects to prevent Google's infrastructure from being abused to harm users or commit financial fraud resulting in losses to users and/or Google. Collaborate with the carrier ecosystem to block bad actors (e.g., corrective/preemptive measures, fraud investigations).
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
5 years of experience managing projects and defining project scope, goals, and deliverables.
Preferred qualifications:
8 years of experience working on signal development, data analysis, cyber security or anti-abuse.
Experience programming in one or more languages (e.g., Python, Golang).
Experience working with complex engineering systems and processes.
Experience with fraud/abuse investigations, fraud risk management, security and threat analysis in the context of internet, telephone, or communication-related products.
Knowledge of SMS/MMS/RCS or SIM/phone number fraud and abuse.
Excellent communication and presentation skills to deliver findings to cross-functional partners, and the ability to influence cross-functionally at various levels.
