Engineering Analyst, Trust and Safety Account Security

Technology, Data & Digital · IT Infrastructure & Security · Cybersecurity · Data Science

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Google is seeking an Engineering Analyst for its Trust and Safety Account Security team in Bengaluru, India. This role involves using large-scale data analysis and AI to protect Google accounts from compromise and abuse. The ideal candidate will have experience in data analysis, project management, and a passion for problem-solving in a fast-paced, global environment.

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
2 years of experience managing projects and defining project scope, goals, and deliverables.

Preferred qualifications:

Master's degree in a quantitative discipline.

About the job

In this role, you will join a team of engineering analysts dedicated to protecting Google accounts and products from compromise, scaled abuse and emerging threats. You will be at the cross-road of cyber-security and AI, designing and implementing abuse prevention mechanisms. You will play a key part in a fast-paced environment where you'll have the chance to apply your analytical and technical skills to complex problems at a global scale.

You will be a proactive and motivated individual who is passionate about problem-solving and has a knack for quickly adapting to new technologies. You will have the ability to identify and solve complex, large-scale problems, and learn quickly and adapt to a fast-paced, ever-changing landscape. You will also have strong communication skills and the ability to thrive in a global, cross-functional, and team-oriented environment.

Responsibilities

Use large-scale data analysis to discover and understand how attackers are compromising Google accounts or are creating and using them for abuse, identifying weak points in our systems.
Develop and deploy policies and interventions within Google's sign-up, sign-in, and reAuth flows to prevent unauthorized access and account abuse, balancing security, and user experience.
Design and execute experiments (e.g., A/B tests) to quantitatively measure the impact of our new policies, features, and challenges on abuse reduction and user friction.
Evolve our interventions for better detection and automation. Identify opportunities to integrate LLM capabilities and agentic tools to automate tasks.
Partner with the broader team, Product Management and Engineering to identify, prioritize and develop strategies against the most pressing and novel threats.

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