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Risk Antifraud Analyst (Fintech)

Формат работы
remote/hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b1
Страна
Serbia/Spain/Cyprus +1 еще
Релокация
Serbia/Spain/Cyprus +1 еще
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
Risk Antifraud Analyst (Fintech): Building and scaling fraud prevention capabilities for a lending business with an accent on designing antifraud strategies and detecting emerging fraud patterns. Focus on analyzing large datasets, optimizing decision-making rules, and collaborating with cross-functional teams to strengthen fraud defenses.

Location: Worldwide; hybrid work or remote work within GMT-2 to GMT+2. Relocation support is available to hubs in Colombia, Cyprus, Serbia, and Spain.

Company

hirify.global, formerly Different Technologies, is a fintech company building lending and fraud prevention capabilities.

What you will do

  • Design, develop, and improve antifraud strategies, rules, and decision-making processes across the lending lifecycle.
  • Investigate fraud cases, organized fraud schemes, emerging patterns, and new attack vectors.
  • Analyze transactional, behavioral, device, and customer graph data to identify fraud signals and generate actionable insights.
  • Evaluate external data sources and products using cost-benefit analysis.
  • Monitor fraud performance metrics, investigate root causes, and strengthen existing controls.
  • Collaborate with Product, Risk Technology, Risk Portfolio, KYC, and Data Engineering teams to implement scalable fraud prevention solutions.

Requirements

  • 3+ years of experience in fraud analytics, antifraud, risk analytics, or related analytical roles.
  • Experience in fintech, banking, lending, microfinance, payments, or gaming.
  • Degree in mathematics, statistics, computer science, engineering, economics, or another quantitative discipline.
  • Strong SQL skills and experience working with large datasets.
  • Proficiency in Python, with knowledge of fraud patterns, detection techniques, behavioral analytics, mathematical statistics, and probability theory.
  • B1 or higher English proficiency for communication with an international team.

Nice to have

  • Experience launching or scaling fraud prevention functions in new markets or products.
  • Experience with machine learning models for fraud detection.
  • Knowledge of portfolio risk analytics and real-time fraud detection systems.
  • Experience with decision engines.
  • Spanish language proficiency.

Culture & Benefits

  • Collaborative environment focused on innovation, transparent feedback, and shared achievements.
  • 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.
  • Relocation support for employees and their families to one of the company hubs.

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