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 to identify fraud, clear false positives, and reduce losses with an accent on real-time review, data analysis, and fraud detection systems. Focus on researching emerging fraud patterns, contributing to machine learning models and rules, and resolving escalated cases within defined SLAs.
Location: Bogota, Colombia; remote role with required Central time zone working hours
Salary: $1,500-$2,000 USD gross per month as a contractor
Company
is a fintech and retail technology company providing interest-free installment payments and tools that help 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, systems, 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.
- Resolve queued cases and stakeholder escalations within service-level agreements.
Requirements
- Bachelor’s degree from an accredited institution.
- At least one year of experience investigating and resolving fraud incidents.
- Experience analyzing data and making decisions in a fast-paced, ambiguous environment.
- Strong problem-solving, analytical, communication, and business judgment skills.
- Demonstrated experience using Claude or equivalent large language model tools is required.
- Ability to work full-time Monday-Friday from 9:00 am to 5:30 pm in the Central time zone, including holidays.
Nice to have
- Experience in fintech, payments, lending, banking, or financial institutions.
- Degree in statistics, mathematics, finance, economics, or another 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
- Fast-paced environment with opportunities for career advancement.
- Work as an independent contributor after training with minimal supervision.
- Collaboration across fraud operations, analytics, data science, and engineering.
- Contractor position with gross monthly compensation.
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