5 дней назад
Fraud Operations Analyst (Fintech)
1 500 - 2 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Fraud Operations Analyst (Fintech): Monitoring and investigating suspicious transactions and customer behavior for an installment-payments platform with an accent on fraud detection, transaction analysis, and timely case resolution. Focus on identifying emerging fraud patterns, contributing to machine learning models and detection rules, and improving prevention tools with data science and engineering teams.
Location: Remote in Peru; Monday-Friday, 9:00 a.m.-5:30 p.m. local time (Central time zone).
Salary: $1,500-$2,000 USD gross per month as a contractor.
Company
is a fintech and retail platform providing interest-free installment payment solutions that help consumers and merchants improve the shopping experience.
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 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
- Bachelor's degree from an accredited institution.
- At least one year of experience investigating and resolving fraud incidents.
- Strong data analysis, problem-solving, communication, attention-to-detail, and multitasking skills.
- Ability to make impactful decisions in a fast-paced and ambiguous environment and work independently after training.
- Experience with Claude or an equivalent large language model tool is required.
- Only English resumes are accepted; availability to work through holidays is required.
Nice to have
- Experience in fintech, payments, lending, banking, or financial institutions.
- A degree in statistics, mathematics, finance, economics, or a related quantitative discipline.
- Experience with SQL and data-processing or analytics tools such as Python, R, or SAS.
- Availability to start within two weeks after receiving an offer.
Culture & Benefits
- Remote, full-time contractor position.
- Fast-paced environment with opportunities for career advancement.
- Culture emphasizing high standards, ownership, calculated risk-taking, candid communication, and results.
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