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Fraud Analyst - Trust & Safety (T&S)



IT, Accounting & Finance
Posted on Wednesday, July 10, 2024
TextNow is seeking a Fraud Analyst to join our Trust & Safety (T&S) team to help us combat fraud and spam on our platform while building more value for our community of users.
You’ll be responsible for strengthening and operating a fraud investigation and mitigation process to help identify and block bad actors who attempt to abuse our service.
You’ll also play a key role in:
- Collaborating with our T&S data scientists and engineers in ML development
- Evaluating and integrating 3rd party technologies and vendors
- Designing new fraud detection methods and tools
Additionally, you’ll work directly with our T&S product team and our customer care team to strengthen our overall T&S system and deliver positive experiences to our customers.

What You'll Do

  • Monitor platform trends for potential fraud using T&S technologies and tools
  • Analyze large sets of data to identify anomalies and emerging risk patterns
  • Conduct detailed fraud investigations to detect bad actors and mitigate abuse
  • Prepare comprehensive reports on fraud incidents and propose preventative solutions
  • Provide regular updates to management on fraud trends and mitigation efforts
  • Partner with other teams including customer care, data science, engineering, product
  • Automate threat discovery and monitoring, leveraging internal and external data sources

Who You Are

  • Strong data analysis skills
  • Excellent written/verbal communicator
  • Proficiency in SQL, Excel, Elastic Search
  • Collaborative with a customer-first mindset
  • Ability to work independently and on a team
  • Strong foundation in probability and statistics
  • Experience with relational/non-relational databases
  • Self-starter with holistic approach and attention to detail
  • Proficient in Snowflake, Redshift, Splunk, and similar data lakes

Preferred Experience

  • Proficiency in scripting languages like Python, etc.
  • Prior experience with telecom, i.e.calling and messaging
  • Prior experience mitigating common fraud and abuse attack vectors