5 дней назад
Fraud Operations Intern (Fintech)
800$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Fraud Operations Intern (Fintech): Reviewing real-time transactions and customer behavior to identify fraud and abuse, with an accent on manual investigations, data analysis, and fraud detection systems. Focus on researching emerging fraud patterns, contributing to machine learning models and rules, and resolving cases within service-level targets.
Location: Remote in Peru; Monday-Friday, 9:00 am-5:30 pm local time
Salary: $800 USD gross monthly
Company
is a fintech company developing interest-free installment payment solutions that improve the shopping experience and increase merchant conversions.
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 risky 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 and stakeholder escalations within established service-level agreements.
Requirements
- Experience analyzing data and making impactful decisions in a fast-paced, ambiguous environment.
- Strong attention to detail, multitasking, problem-solving, analytical, business judgment, and communication skills.
- Ability to work independently with minimal supervision after training.
- Demonstrated experience using Claude or equivalent large language model tools is required.
- Availability to work full-time Monday-Friday during local daytime hours.
Culture & Benefits
- Paid internship with opportunities for career advancement.
- Fast-paced environment focused on calculated risk-taking, high standards, trust, and delivering results.
- Opportunity to build domain knowledge in fraud prevention techniques and technologies.
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