As the Sr. Risk Analyst, you will join a team of talented and dedicated fraud experts who play a pivotal role in fighting fraud and helping our customers succeed. Your work will make a big impact in advancing payment risk decisioning to the next level. The right candidate is an experienced fraud fighter with a love for learning, problem solving, and not afraid of a challenge. They enjoy being part of a close knit team and working on multiple projects simultaneously without compromising quality. 

Primary Responsibilities Include: 

  • Perform proactive risk analysis to identify risk factors and trends of potentially fraudulent activity on large datasets
  • Identify fraud trends, document and communicate findings, and lead in the development and implementation of new fraud prevention strategies
  • Support Risk Operations with process and tool improvements
  • Assist our sales team by leading fraud and tool insights conversations with potential merchants  
  • Gather and format data into regular and ad-hoc reports and presentations as well as dashboards for metrics and trend reporting
  • Assist in special projects and ad-hoc assignments, upon request
  • Develop and maintain strong relationships with internal teams and external business partners

 

Required Skills/Traits: 

  • Bilingual with business proficiency in English
  • 5+ years experience in e-commerce, payments or risk-related industry with either traditional and non-traditional payment methods.
  • Strong understanding of ecommerce payments landscape in LATAM 
  • Strong analytical skills and an understanding of how to utilize data to target improvements and solve problems
  • Experience with database language (e.g., SQL) as well as BI and reporting tools (Looker, Tableau, Splunk, etc.)
  • Strong critical thinking skills with advanced judgment capability 
  • Ability to manage multiple assignments while working independently 
  • Strong communication skills with internal and external stakeholders
  • Flexibility to work weekends and holidays

 

Desirable Skills: 

  • Experience in large scale data analysis, tools, and processes. (e.g. Python, R)
  • Experience with translating fraud trends into rule logic and/or feature suggestions

 

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