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7 дней назад

Fraud Analyst (Fintech)

Формат работы
remote
Тип работы
fulltime
Грейд
middle/senior
Английский
c1
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Fraud Analyst (Fintech): Managing fraud detection and prevention strategies for hirify.global products with an accent on data-driven risk rule optimization and 3DS decisioning. Focus on analyzing large datasets to identify attack vectors, balancing fraud prevention with conversion rates, and collaborating with cross-functional teams to improve verification systems.

Location: Remote

Company

hirify.global is a fast-growing marketplace for digital games and gaming-related products.

What you will do

  • Take full ownership of fraud detection and prevention for specific products.
  • Analyze large datasets using SQL to identify fraud patterns and emerging attack vectors.
  • Design, write, and optimize dynamic fraud risk rules that scale with business growth.
  • Improve False Positive Rates while balancing security with customer experience.
  • Manage 3DS decisioning and optimization across multiple international markets.
  • Collaborate with Product, Payments, Data, and Engineering teams to enhance verification systems.

Requirements

  • Proven experience in fraud analysis, payments risk, or risk management.
  • Strong SQL skills and hands-on experience working with large datasets.
  • Experience writing and maintaining dynamic fraud risk rules.
  • Deep, practical knowledge of 3DS and authentication strategies across different regions.
  • Full professional proficiency in English.
  • Solid understanding of fraud patterns, user behavior, and payment-related risks.

Nice to have

  • Python experience.
  • Experience working with fintechs, payment processors, or high-growth product companies.
  • Familiarity with fraud tools such as Forter, nSure, or justt.Ai.
  • Exposure to PSD2, SCA, TRA, and liability shift concepts.

Culture & Benefits

  • Opportunity to work in a high-growth, international product environment.
  • Full-time remote work arrangement.
  • Focus on data-backed decision making and ownership.
  • Collaborative culture working across Product, Payments, and Engineering teams.

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