Emerging Fraud Researcher

Written by the T&S Network from Twilio's posting.

Researches emerging fraud on the Twilio Network across voice, messaging and email, finding new abuse patterns by analyzing industry trends and billions of events with AI tools. The role works with data science and engineering to build detection models and reduce false positives.

• Fraud and scams

What you'd do

• Run independent research with AI tools to find novel emerging fraud trends.
• Work with data scientists to build ML models that detect fraud behaviors at scale.
• Continuously stress test the network for vulnerabilities.
• Analyze large-scale messaging and voice traffic for novel fraud patterns, including AIT and ATO.
• Set up and carry out preventive countermeasures that shield users and the network from fraud.
• Investigate high-impact fraud incidents and deliver root cause analysis with recommendations.
• Monitor fraud and bot detection trends to keep the defense current.

What it asks for

• 5+ years in fraud investigations, trust and safety, or security analysis at a high-growth tech company or large-scale distributed system.
• Advanced SQL, complex data analysis, and data visualization skills for querying large datasets.
• Proven record designing and running proactive fraud mitigation strategies.
• Experience leading incident response across teams and turning technical risk into plans executives can act on.
• Experience in CPaaS, telecommunications, or payments (preferred).
• Familiarity with machine learning concepts applied to fraud detection (preferred).
• CFE or CISSP certification (preferred).

Worth knowing

• May be asked to travel occasionally for in-person project or team meetings.

Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on Twilionorth_east before you apply. If we got something wrong, report this listing.