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): Reviewing real-time transactions and customer behavior to identify fraud and abuse, with an accent on manual investigations, data analysis, and risk decisions. Focus on researching fraud trends, improving machine-learning detection systems, meeting SLAs, and handling escalations in a Central time zone schedule.
Location: Remote in Türkiye; Monday–Friday, 9:00 a.m.–5:30 p.m. local time, with work aligned to the Central time zone.
Compensation: $1,500–$2,000 USD gross per month as a contractor.
Company
is a fintech and retail payments company providing interest-free installment plans 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, account patterns, and suspicious activity using internal policies and review methodologies.
- 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 within SLA targets and handle internal and external escalations.
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 fast-paced, ambiguous situations.
- Strong attention to detail, multitasking, problem-solving, analytical, judgment, and communication skills.
- Ability to work independently after training, with minimal supervision, including through holidays.
- Demonstrated experience with Claude or equivalent large language model tools is required.
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 with cross-functional teams focused on improving fraud prevention and the shopping experience.
- Culture emphasizing high standards, independent thinking, calculated risk-taking, trust, constructive disagreement, and results.
- Contractor engagement with a non-exempt, hourly work arrangement.
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