5 дней назад
Fraud Operations Intern
800$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Fraud Operations Intern (Fintech/Ecommerce): Monitoring and investigating suspicious transactions and customer behavior to identify fraud, abuse, and false positives with an accent on real-time reviews, data analysis, and fraud detection systems. Focus on researching emerging fraud patterns, contributing to machine learning models and rules, and resolving queued cases within service-level targets.
Location: Remote from Mexico; Monday-Friday, 9:00 am-5:30 pm local time
Salary: $800 USD gross monthly
Company
is a fintech and retail technology company providing interest-free installment payment solutions and helping merchants increase conversions and order values.
What you will do
- Monitor real-time transactions and customer behavior flagged for fraud or abuse.
- Investigate transactions and account patterns using internal policies, review methodologies, and data analysis.
- Block fraudulent or high-risk users and clear false-positive alerts.
- Research fraud trends and user behavior to support machine learning models, rules, and detection systems.
- Collaborate with analysts, operations specialists, data scientists, and engineers to improve fraud prevention tools and processes.
- Resolve queued cases within service-level agreements and handle stakeholder escalations.
Requirements
- Experience analyzing data and making decisions in a fast-paced, ambiguous environment.
- Strong attention to detail, multitasking, problem-solving, analytical, business judgment, and communication skills.
- Ability to work independently after training and maintain high standards of execution.
- Demonstrated experience with Claude or equivalent large language model tools is required.
- Ability to work full-time from Mexico during the specified local working hours.
Culture & Benefits
- Paid internship with opportunities for career advancement.
- Fast-paced environment focused on action, calculated risk-taking, and delivering results.
- Collaborative work with fraud, operations, data science, engineering, and support functions.
- Culture emphasizing high standards, candid communication, respectful disagreement, trust, and accountability.
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