Risk Analyst, Global Response Operations

Meta; Dublin; On-site; EUR 70,000 - 120,000; Full time

Job summary

Meta in Ireland’s Dublin is seeking a skilled professional for the Protect team within Global Response Operations to identify risks on the platform and investigate their manifestation at scale using data analytics and AI tools. You will contribute to multi-team collaboration with Policy, Product and Process, building automated workflows and prototyping AI-powered solutions.

The role requires strong data analysis, experience with LLM-based tools, and the ability to communicate findings to both

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 to accelerate data analysis and workflow automation
• Experience working with complex data sets and aptitude for risk identification and analysis
• Experience communicating progress to technical and non-technical audiences
• Experience with prompt engineering and AI-based tooling
• Ability to work with potentially graphic content
• Experience building and operationalizing AI agents or detection pipelines

Responsibilities

• Identify and investigate emerging on-platform risks at scale using data.
• Prototype AI-powered workflows and automate detection pipelines.
• Gather evidence, perform root-cause analysis, and document findings.
• Communicate progress to technical and non-technical stakeholders.
• Iterate on tools with a build–test–iterate approach.

Skills

SQL

Python

Data analytics

Prompt engineering

Automation scripting

Investigations

Risk analysis

AI tooling

Communication

Education

Bachelor's degree or equivalent experience

Tools

LLMs

Code assistants

Workflow automation platforms

Job description

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.

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
• 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)