Risk Analyst, Global Response Operations

The Protect team within Global Response Operations is focused on detecting emerging on-platform risks that pose harm to our community and businesses on our platform. We identify, investigate and understand those risks. We partner closely with other Global Response Operations teams, Policy, Product and Process teams to mitigate those risks.

We are looking for someone who has a passion for identifying risks and investigating to understand where and how these are manifesting on our platforms. This individual has a demonstrated capacity to leverage data and AI tools to both detect emerging risks and investigate them at scale. They are comfortable building and iterating on automated workflows, prototyping AI-powered solutions, and using LLM-based tools to accelerate detection and investigation. A successful candidate has demonstrated experience conducting structured investigations, including evidence gathering, root cause analysis, and documentation of findings, is effective in ambiguous situations, and brings a builder's mindset - we are looking for a self-starter who is excited to help us shape the future of AI-native detection work and processes.

This role may involve exposure to potentially graphic and/or objectionable content including but not limited to graphic images, videos, audio and text, offensive or derogatory language, and other potential objectionable material, such as child exploitation, graphic violence, self-injury, animal abuse, and other content which may be considered offensive or disturbing.

Responsibilities

• Drive the scoping and development of risk signals for key problem areas/abuses, including building automated detection pipelines and AI-powered signal aggregation
• Identify emerging risks using on-platform and off-platform signals, through monitoring, analysis, and AI-assisted pattern recognition
• Conduct investigations to develop rigorous understanding and knowledge of potential emerging trends and evolving risks in priority areas
• Work cross-functionally to drive mitigation for identified risk areas, including conducting enforcement on violating trends
• Build and execute risk detection strategies to support the management of critical events, such as elections and crises
• Use data, internal tools, and AI agents to identify and investigate potential risk areas and patterns at scale and across abuse types
• Use quantitative and qualitative research methods to perform root cause analyses on investigative findings or high-priority escalations
• Partner with internal experts to build a rigorous understanding of how, where, and why broad forms of abuse are experienced across the platform
• Synthesize investigative findings through the creation of analysis and presentations that provide a succinct, coherent narrative assessing risk
• Build, prototype, and iterate on AI-native tools and workflows that improve detection capabilities - including agent prototypes, automated investigation workflows, and LLM-powered analysis tools. Champion adoption of technical solutions that drive efficiency, speed, and reduction of language dependence

Minimum qualifications

• Bachelor's degree or equivalent experience in investigations, data analytics or technical systems roles
• 4+ years experience in investigations, data analytics or technical systems roles in Trust & Safety or Risk Operations
• Analytical thinking and problem-solving experience
• Proficiency in SQL and comfort using AI-assisted tools (e.g., LLMs, code assistants) to accelerate data analysis and workflow automation
• Experience working with complex data sets and aptitude for risk identification and analysis using data skills
• Experience communicating progress and outputs to both technical and non-technical audiences
• Experience prioritizing multiple functions and tasks
• Ability to work with potentially graphic and objectionable content

Preferred qualifications

• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience investigating Ads, eCommerce, payments, financial risks
• Experience with prompt engineering, LLM-based tools, or workflow automation platforms
• Proficiency in Python, with experience using it for automation, scripting, or building lightweight tools
• Demonstrated ability to rapidly prototype solutions - comfort with a 'build, test, iterate' approach to tooling
• Experience building and operationalizing AI agents, automated workflows, or detection pipelines
• Experience in risk signal analysis and investigations
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)