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4 дня назад

Antifraud Analyst Junior (Fintech)

Формат работы
remote (Global)/onsite
Тип работы
fulltime
Грейд
junior
Английский
b1
Страна
Serbia/Mexico
Релокация
Serbia/Mexico
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Antifraud Analyst Junior (Fintech): Testing, optimizing, and developing antifraud rules across card, transfer, and tokenization products with an accent on fraud-case analysis, rule efficiency, and operational controls. Focus on back-testing detection logic, identifying emerging fraud patterns, building SQL queries and dashboards, and automating fraud detection with Python and AI tools.

Location: Worldwide; remote work available, with an option to work from offices. Relocation support is available to hubs in Serbia or Mexico for employees and their families.

Company

hirify.global, formerly Different Technologies, develops card and payment products with a focus on fraud prevention and risk management.

What you will do

  • Test and improve antifraud rules for existing products and new fraud scenarios launching in 2026.
  • Optimize and document rules across card, transfer, and tokenization channels.
  • Investigate alerts with antifraud agents, validate rule logic, and adjust thresholds.
  • Analyze confirmed fraud cases to identify emerging patterns and risks.
  • Conduct back-testing, monitor fraud metrics, and assess rule performance.
  • Build queries and dashboards and implement automation for fraud detection and operational controls.

Requirements

  • Strong knowledge of mathematical statistics and probability theory.
  • Strong analytical and systematic thinking with attention to detail.
  • Strong SQL skills for data analysis and Python skills for automation or modeling.
  • Ability to use AI tools in day-to-day analytical work.
  • Excellent communication and cross-functional collaboration skills.
  • English at B1 level or higher is required.

Nice to have

  • Hands-on experience with machine learning techniques or models in analytical or fraud-related use cases.
  • Understanding of payment processes, transaction flows, and common fraud typologies.
  • Mathematical or technical degree from a leading university.

Culture & Benefits

  • Innovative, high-tech environment focused on creative solutions.
  • Open feedback, transparent communication, and collaborative teamwork.
  • Healthcare coverage.
  • Education budget for language lessons, professional training, and certifications.
  • Wellness budget for mental health and fitness reimbursements.
  • 20 days of annual leave and paid sick leave.

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