Investigations Analyst

Summary

Turing is a research accelerator for frontier AI labs and a partner for enterprises deploying advanced AI systems. The Investigations Analyst will support security investigations focused on fraud and insider threat, handling cases from initial signals through resolution. The role involves gathering and analyzing evidence, documenting investigations, and partnering with Detection & Response, Legal, and HR.

Responsibilities

• Investigate fraud and insider threat cases: gather evidence, analyze data across multiple sources, and reconstruct events
• Triage alerts and reports of potential misconduct, fraud, or insider activity, and escalate appropriately
• Analyze logs, transactions, and behavioral signals to identify anomalies and build case narratives
• Document investigations thoroughly and objectively, maintaining careful evidence handling and chain of custody
• Partner with Detection & Response, Legal, and HR on sensitive matters, following established process and discretion
• Contribute to investigation playbooks and help identify patterns that inform new detections and prevention
• Handle confidential information with the utmost integrity and care

Skills

• 2+ years of experience in investigations, fraud analysis, security operations, intelligence analysis, or a related analytical role
• Strong ability to work across disparate data sources and draw well-supported conclusions
• Sound judgment, discretion, and ethics when handling sensitive and confidential matters
• Clear, objective writing for case documentation
• Comfort querying and analyzing logs or transactional data
• Detail-oriented, able to manage multiple cases at once
• Experience with insider threat, fraud detection, or e-discovery/forensics tooling
• Familiarity with SIEM, DLP, or UEBA data sources
• Relevant certifications (CFE or similar), or a background in law enforcement, intelligence, or forensics
• Scripting or data analysis skills (SQL, Python) for working with large datasets

Qualifications

Must Haves

• 2+ years of experience in investigations, fraud analysis, security operations, intelligence analysis, or a related analytical role
• Strong ability to work across disparate data sources and draw well-supported conclusions
• Sound judgment, discretion, and ethics when handling sensitive and confidential matters
• Clear, objective writing for case documentation
• Comfort querying and analyzing logs or transactional data
• Detail-oriented, able to manage multiple cases at once

Nice to Haves

• Experience with insider threat, fraud detection, or e-discovery/forensics tooling
• Familiarity with SIEM, DLP, or UEBA data sources
• Relevant certifications (CFE or similar), or a background in law enforcement, intelligence, or forensics
• Scripting or data analysis skills (SQL, Python) for working with large datasets

Benefits

• Work at the frontier of AI, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
• Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
• Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges.
• Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
• Move at the pace of AI innovation, with the speed, ownership, and impact of a startup.