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5 дней назад

Senior Fraud Data Analyst (Fintech)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Fraud Data Analyst (Fintech): Designing real-time fraud decisioning strategies for a digital payments platform with an accent on machine learning scores, velocity features, rule precision, and frictionless user experiences. Focus on detecting emerging payment fraud schemes, operationalising ML models, optimising false-positive and fraud-loss trade-offs, and reporting portfolio performance to senior leadership.

Location: Barcelona, Spain. Hybrid schedule with three days per week in the office: Tuesday, Thursday, and one additional day of choice. Extra remote time may be requested.

Company

hirify.global is a financial platform providing payments, benefits, investing, and card services to more than 6.5 million users.

What you will do

  • Design and deploy real-time fraud decisioning strategies combining machine learning scores and velocity features.
  • Translate complex fraud patterns into rules while balancing false-positive rates and gross fraud losses.
  • Investigate emerging fraud schemes, including account takeover and social engineering, and develop mitigation strategies.
  • Partner with Product, Engineering, and Data Science to define analytical requirements, operationalise models, and integrate third-party data signals.
  • Analyse security measures and design dynamic friction strategies that protect users without creating unnecessary hurdles.
  • Monitor rule performance and portfolio health, presenting data-driven recommendations to senior leadership.

Requirements

  • At least 6 years of experience in risk, payments, or credit.
  • Advanced SQL and Python skills for data analysis and strategy development.
  • Strong understanding of payment fraud dynamics and real-time decisioning environments.
  • Fluent English is required.

Nice to have

  • Experience with machine learning or data science.
  • Knowledge of PySpark or GraphQL.

Culture & Benefits

  • Private health insurance for employees and families, psychological support, and mental health workshops.
  • Stock Option Plan, meal vouchers, and relocation support when moving countries.
  • Professional development programs, internal mobility, and language courses.
  • Unlimited paid time off and flexible working hours.
  • Enhanced parental leave and additional leave for child sickness.

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