Назад
3 дня назад

Risk Antifraud Analyst (Fintech)

4 000
Формат работы
remote
Тип работы
fulltime
Грейд
middle
Английский
b1
Страна
Serbia/Spain/Cyprus +1 еще
Релокация
Serbia/Spain/Cyprus +1 еще
RUВакансия из Hirify RU, списка российских tech-компаний

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Описание вакансии

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TL;DR
Risk Antifraud Analyst (Fintech): Building and scaling fraud prevention capabilities for a lending business with an accent on antifraud strategies, transactional and behavioral data analysis, and fraud detection rules. Focus on investigating organized fraud schemes, analyzing customer and device graphs, optimizing decision engines, and strengthening controls through SQL, Python, and machine learning.

Location: Remote within time zones from GMT-2 to GMT+2; relocation support is available to hubs in Colombia, Cyprus, Serbia, and Spain.

Salary: from €4,000/month net.

Company

Fintech lending business building scalable risk and fraud prevention solutions.

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.
  • Evaluate external data sources and products using cost-benefit analysis.
  • Develop, validate, optimize, and monitor fraud detection rules and performance metrics.
  • Collaborate with Product, Engineering, Risk, KYC, and Data Engineering teams and present analytical recommendations.

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 a quantitative discipline such as Mathematics, Statistics, Computer Science, Engineering, or Economics.
  • Strong SQL skills and experience working with large datasets.
  • Proficiency in Python for data analysis and knowledge of fraud patterns, detection techniques, behavioral analytics, mathematical statistics, and probability theory.
  • English at B1 level or higher; availability to work within GMT-2 to GMT+2 time zones.

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.
  • Experience with real-time fraud detection systems and decision engines.
  • Spanish language proficiency.

Culture & Benefits

  • Innovative, collaborative environment with open and transparent feedback.
  • Remote work or work from one of the company offices within the specified time-zone range.
  • Relocation support for employees and their families to hubs in Colombia, Cyprus, Serbia, or Spain.
  • Healthcare coverage, 20 days of annual leave, and paid sick leave.
  • Education budget for language lessons, professional training, and certifications, plus a wellness budget.

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