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5 дней назад

Fraud Operations Analyst (Fintech)

1 500 - 2 000$
Формат работы
remote (только Turkey)
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
Turkey
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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