Fraud Operations Intern: Remote, Paid & Impactful

Sezzle; Chile; Remote; CLP 7,973,000 - 9,550,000; Full time

Job summary

Sezzle is seeking a Fraud Operations Intern to join a fast-paced, growth-focused team. You will monitor real-time transactions for potential fraud, investigate cases, and contribute to rule-based detection systems. The role requires comfort with AI tools like Claude and a strong analytical mindset.

This paid internship offers full-time hours on a remote schedule with opportunities for career advancement. You will collaborate with analysts, data scientists, and engineers to continuously improve

Qualifications

• Experience in analyzing data and making decisions in a fast-paced environment.
• Attention to detail and ability to multitask.
• Excellent problem-solving and analytical skills.
• Strong business judgment and communication skills.
• Experience with Claude or similar LLM tools is required; comfortable using AI to enhance work output.

Responsibilities

• Monitor real-time transactions and user behavior flagged for fraud for manual review.
• Investigate transactions using internal policies to determine fraud status.
• Analyze account patterns and data to understand fraud trends.
• Research fraud patterns to contribute to rules and models.
• Collaborate with analysts, data scientists, and engineers to improve fraud prevention tools.
• Maintain solid knowledge of fraud prevention techniques and technologies.
• Meet SLA targets to minimize potential losses.
• Handle escalations professionally.

Skills

Data analysis

Attention to detail

Problem solving

Communication

AI tooling

Job description

Sezzle is seeking a Fraud Operations Intern to join a fast-paced, growth-focused team. You will monitor real-time transactions for potential fraud, investigate cases, and contribute to rule-based detection systems. The role requires comfort with AI tools like Claude and a strong analytical mindset.

This paid internship offers full-time hours on a remote schedule with opportunities for career advancement. You will collaborate with analysts, data scientists, and engineers to continuously improve