pythonsqlstatisticsa b testingbusiness intelligencedata analyticsfraud preventionregression analysisdecision science
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
€55к-75к/год
€54к€80кмедиана€110к
По похожим ролям (50) ~ €80к/год
Прикинули из €4.6к-6.2к/мес × 12
На СНГ рынке: $3.7к/мес ($2.8к - $4.2к)
68
Хорошая вакансия
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У роли четкий фокус на аналитике мошенничества и хорошие условия, но зарплата ниже медианы рынка, поэтому предложение менее привлекательно для senior-специалиста.
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Ниже рынкаПонятные задачиСовременный стекХорошие льготыФинансовые технологии
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Decision Scientist, Fraud Management (Payments Fraud): Safeguarding payment transactions by analyzing large datasets, evaluating fraud signals, and balancing machine-learning predictors, business rules, and third-party fraud networks with an accent on statistical analysis, KPI monitoring, and fraud prevention. Focus on validating fraud initiatives, identifying root causes, building self-service dashboards, and co-creating improved fraud detection processes with Data Scientists.
Location: Hybrid work in Vilnius or Kaunas, Lithuania; two days in the office are recommended.
Gross monthly salary: €4,608–€6,233.
Company
hirify.global is a Lithuanian second-hand marketplace and payments company serving millions of members across European markets.
What you will do
Identify strategic opportunities and provide data-driven recommendations for payments fraud management.
Test and analyze initiatives using statistical methods, visualization tools, and business-impact evaluation.
Select, calculate, and monitor key performance indicators while investigating issues and root causes.
Build self-service dashboards that enable stakeholders to use data for business insights.
Promote analytics and decision-making best practices across the organization.
Work with Data Scientists to improve fraud detection processes and payment security.
Requirements
Experience in Decision Science or Data Analytics.
Experience in Fraud Prevention, Trust & Safety, or a related area.
Familiarity with SQL and Python.
Experience with BI tools such as Looker, Tableau, or Power BI.
Knowledge of A/B testing, regression analysis, and other statistical or inferential techniques.
Fluent English, written and spoken, is required.
Culture & Benefits
Hybrid workplace model with flexible office days agreed with the team.
25 working days of holiday and private health insurance.
Home-office equipment and a budget of up to €540 for workplace furniture.
Annual learning budget for courses, certifications, and workshops.
Share options, mental health support, team-building events, and a monthly hirify.global shopping budget.
Workation for up to 90 days per year, including up to 21 days outside the EU.
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