Fraud Analyst - Trust & Safety (T&S)

Open- Canada

Apply now Apply later

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  
Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  1  0  0
Category: Analyst Jobs

Tags: Data analysis Engineering Excel Machine Learning Python RDBMS Redshift Snowflake Splunk SQL Statistics

Region: North America
Country: Canada

More jobs like this