Responsibilities
About the team:
The Trust & Safety Risk Intelligence team plays a critical role in detecting and analyzing external risks and internal intelligence to support risk mitigation efforts across the platform. Our mission is to provide timely, data-driven insights that empower Trust & Safety teams to address public perception risks, regulatory and policy challenges, high-risk events, and emerging threats. Through a combination of proactive detection, deep-dive investigations, and advanced analytics, we enable informed decision-making and help shape platform safety strategies.
As a Risk Intelligence Team Analyst, you will be at the forefront of identifying high-harm risks. You will leverage SQL, data analysis tools, and investigative techniques to detect harmful trends, assess emerging threats, and drive proactive risk detection initiatives. This role requires a strong analytical mindset, technical expertise, and a deep understanding of Trust & Safety risks.
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Responsibilities
- Proactively identify harmful trends and content using internal data, open-source intelligence (OSINT), and third-party intelligence sources.
- Leverage SQL and other data analysis tools to detect and investigate high-risk behaviors, anomalies, and emerging threats.
- Monitor and analyze real-world crises, public perception, and high-risk content trends through internal databases, news reports, and social media.
- Work cross-functionally with Trust & Safety, Product, Policy, Process, and Detection and Containment teams to improve platform safety and risk mitigation strategies.
- Partner with stakeholders to develop and implement automated detection mechanisms to identify and control harmful content efficiently.
- Investigate Trust & Safety risks, including misinformation, real-world harm, and other high-impact issues.
- Provide data-driven insights and recommendations to enhance detection models, enforcement processes, and proactive risk mitigation.
- Identify gaps and inefficiencies in risk detection and develop solutions with minimal supervision.
Qualifications
Minimum Qualifications
- 3-5 years of experience in data analysis, investigations, risk identification, or a related field (Trust & Safety, cybersecurity, fraud, intelligence analysis, etc), with strong and proven data analysis and logical thinking skills.
- Strong SQL proficiency with experience analyzing and visualizing large datasets to detect patterns and risks.
- Ability to work in a high-tempo, rapidly evolving environment, managing multiple priorities efficiently.
- Strong problem-solving and critical-thinking skills, with a proactive approach to identifying and mitigating risks.
- Excellent written and verbal communication skills, with the ability to translate complex findings into actionable insights.
- Bachelor's degree or equivalent experience in data science, trust & safety, risk investigations, cybersecurity, or related fields.
- Resilient and committed to self-care, understanding and managing the emotional demands of working in high-risk areas.
Preferred Qualifications
- Experience with Python, R, or other programming languages for data analysis.
- Familiarity with risk detection models, automated threat intelligence tools, and machine learning applications in Trust & Safety.
- Prior experience working with real-time data monitoring, risk signals, and policy enforcement frameworks.
- Experience in intelligence analysis and investigative work in Trust & Safety, cybersecurity, integrity, or risk operations.
- Strong knowledge of OSINT techniques and methodologies.