Remote Fraud Operations Intern - Fast-Paced FinTech

Sezzle; United States; Remote; USD 7,600 - 10,000; Full time

Job summary

Sezzle is seeking a Fraud Operations Intern to join our Shopper Risk Operations team. You will monitor and review real‑time transactions flagged for fraud, applying internal policies to determine legitimacy and reduce false positives.

This role offers a fast‑paced learning environment with clear paths for career growth. Ideal candidates bring data‑driven thinking, attention to detail, and comfort using AI tools like Claude to enhance detection and productivity while collaborating with analysts,

Qualifications

• Experience analyzing data and making impactful decisions in fast-paced environments.
• Attention to detail with multitasking ability.
• Strong problem-solving and analytical skills.
• Excellent business judgment and communication skills.
• Ability to self-start after training.
• Experience with Claude or similar large language model tools.

Responsibilities

• Monitor real-time transactions and behaviors flagged for fraud for manual review.
• Investigate transactions using internal policies to determine fraud.
• Analyze account patterns through data analysis using systems and tools.
• Research fraud trends to contribute to rules and detection systems.
• Collaborate with analysts, data scientists, and engineering to improve fraud prevention.
• Maintain domain knowledge of fraud prevention techniques and technologies.
• Maintain or exceed SLAs for timely resolution of queued cases.
• Handle escalations professionally from stakeholders.

Skills

Data analysis

Attention to detail

Problem solving

Communication skills

Self-start

Claude or LLM tools

Job description

Sezzle is seeking a Fraud Operations Intern to join our Shopper Risk Operations team. You will monitor and review real‑time transactions flagged for fraud, applying internal policies to determine legitimacy and reduce false positives.

This role offers a fast‑paced learning environment with clear paths for career growth. Ideal candidates bring data‑driven thinking, attention to detail, and comfort using AI tools like Claude to enhance detection and productivity while collaborating with analysts,