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Fraud Data Analyst (Latam)

Sezzle

Salary not specified
May 13, 2025
Cambridge, MA, US
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Sezzle is seeking to prevent fraudulent transactions and activities that could result in financial loss and reputational damage.

Requirements

  • Proficiency in SQL, including the ability to write queries, extract data, and perform data analysis
  • Understanding of common fraud typologies (e.g., account takeover, identity theft, payment fraud, etc.)
  • Experience with fraud detection tools and platforms is a plus

Responsibilities

  • Monitor transactions and customer accounts to identify and investigate suspicious or fraudulent activity
  • Utilize various fraud detection tools, systems, and techniques to identify emerging fraud trends and patterns
  • Conduct in-depth investigations into suspected fraudulent activities, gathering evidence and documenting findings
  • Analyze large datasets using SQL to identify anomalies, patterns, and insights related to fraudulent behavior
  • Develop and implement fraud prevention rules, strategies, and controls
  • Stay up-to-date with industry best practices, emerging fraud threats, and new technologies in fraud detection and prevention

Other

  • Bachelor's degree in a relevant field (e.g. Economics, Computer Science, Analytics, or a related field)
  • Minimum of one (1) year of experience in a fraud detection, prevention, or investigation role
  • Strong analytical and problem-solving skills with a keen attention to detail
  • Excellent written and verbal communication skills, with the ability to clearly articulate complex issues
  • Ability to work independently and as part of a team in a fast-paced environment
  • Strong organizational skills and the ability to manage multiple priorities effectively
  • High level of integrity and a commitment to ethical practices