pythonsqldata sciencefraud detectionmachine learningpaymentspysparkreal time decisioning
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Нет данных о зарплатеАктуальные технологииЧёткая зона ответственностиФинтех-продуктЩедрые льготы
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Текст:
Hirify AI/Оригинал
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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