
Fraud Data Analyst
Posted 11 hours ago

Posted 11 hours ago
This is a fully remote position, open to applicants in Colombia.
• Oversee transactions and customer accounts to detect and investigate suspicious or fraudulent activities.
• Employ fraud detection tools, systems, and methodologies to uncover emerging trends and patterns in fraud.
• Perform thorough investigations into suspected fraudulent actions, collecting evidence and documenting findings.
• Analyze extensive datasets using SQL to identify anomalies, patterns, and insights associated with fraudulent behavior.
• Create and execute fraud prevention rules, strategies, and controls.
• Keep abreast of industry best practices, emerging threats related to fraud, and new technologies for detection and prevention.
• Contribute to safeguarding Sezzle and its customers from financial losses and reputational harm.
• Bachelor's degree in a relevant field such as Economics, Computer Science, Analytics, or a similar discipline.
• At least two (2) years of experience in fraud detection, prevention, or investigation.
• Minimum of two (2) years of experience working with SQL and Python.
• Strong analytical and problem-solving abilities with a keen attention to detail.
• Knowledge of common fraud typologies, including account takeover, identity theft, and payment fraud.
• Familiarity with fraud detection tools and platforms is an advantage.
• Exceptional written and verbal communication skills.
• Capability to work autonomously and collaboratively within a fast-paced environment.
• Strong organizational skills and the ability to manage multiple priorities effectively.
• High level of integrity and dedication to ethical practices.
• Proven experience using Claude or similar large language model tools; comfortable utilizing AI to boost productivity, research, and communication.
• English resumes are required.
• Preferred: experience in fintech, payments, lending, banking, or financial institutions.
• Preferred: degree in statistics, math, finance, economics, or a related quantitative field; a graduate degree is a plus.
• Remote work arrangement.
• Culture that emphasizes high standards, innovation, calculated risk-taking, trust, respectful challenge, and results.
• Opportunity to engage with cutting-edge technology in the fintech and retail sectors.
• A diverse employee base with a purpose-driven workplace culture.
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