Fraud Analytics Specialist

Sezzle LA; Santiago; Presencial; CLP 30.360.000 - 39.259.000; Jornada completa

Descripción de la vacante

Sezzle is seeking a detail-oriented Fraud Data Analyst to join our expanding team. You will identify and investigate fraudulent transactions and activities, leveraging SQL to query data and prevent losses while protecting customers and the company’s reputation.

The role requires 2+ years in fraud-related work, strong SQL/Python skills, and the ability to communicate findings clearly in a fast-paced fintech environment.

Formación

• Bachelor’s degree in a relevant field (Economics, CS, Analytics) or related field.
• At least 2 years in fraud detection, prevention, or investigation.
• 2+ years of experience with SQL and Python.
• Strong analytical and problem-solving skills with keen attention to detail.
• Understanding of common fraud typologies (account takeover, payment fraud, etc.).
• Experience with fraud detection tools and platforms is a plus.
• Excellent written and verbal communication skills.
• Ability to work independently and in a fast-paced environment.
• Strong organizational skills and ability to manage multiple priorities.
• High integrity and ethical practices.
• Experience with Claude or similar LLM tools is required.

Responsabilidades

• Monitor transactions and customer accounts to identify suspicious or fraudulent activity.
• Use fraud detection tools and techniques to spot trends and patterns.
• Conduct in-depth investigations into suspected fraud, documenting findings.
• Analyze large data sets with SQL to identify anomalies and insights.
• Develop and implement fraud prevention rules and controls.
• Stay updated on industry best practices and emerging threats.

Conocimientos

SQL

Python

Analytical thinking

Attention to detail

Communication skills

Educación

Bachelor's degree in Economics, Computer Science, Analytics, or related field

Herramientas

Fraud detection tools

Descripción del empleo

Sezzle is seeking a detail-oriented Fraud Data Analyst to join our expanding team. You will identify and investigate fraudulent transactions and activities, leveraging SQL to query data and prevent losses while protecting customers and the company’s reputation.

The role requires 2+ years in fraud-related work, strong SQL/Python skills, and the ability to communicate findings clearly in a fast-paced fintech environment.