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2 месяца назад

Software Fraud Engineer (Fintech)

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

Текст:
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TL;DR
Software Fraud Engineer (Fintech): Building real-time fraud detection platforms, risk engines, and automated decision-making services for payments, wallets, authentication, and user activity with an accent on scalable backend systems, event processing, and behavioral risk analysis. Focus on designing transaction decision engines, optimizing low-latency fraud controls, and solving complex abuse detection challenges across crypto and fintech flows.

Location: Worldwide; remote or hybrid with flexible hours

Company

hirify.global develops products and services connected with crypto and blockchain ecosystems.

What you will do

  • Design and develop fraud detection systems for payments, wallets, authentication, and user activity.
  • Build real-time fraud pipelines, event-processing systems, scalable backend services, and APIs for risk evaluation.
  • Develop fraud rules, velocity controls, dynamic risk scoring, and decision engines for transaction approval, review, or rejection.
  • Analyze behavioral, transactional, device, and identity signals to detect account takeover, payment fraud, bonus abuse, and multi-accounting.
  • Optimize detection accuracy, minimize false positives, and improve real-time decision latency.
  • Create investigation and monitoring tools while collaborating with Product, Payments, Data, Platform, Fraud, Support, and Compliance teams.

Requirements

  • 4+ years of software engineering experience.
  • Strong backend development experience with Go, Java, Kotlin, Python, or similar technologies.
  • Experience building fraud prevention, risk, payment, banking, fintech, or security systems.
  • Experience with distributed systems, event-driven architectures, real-time decision engines, large datasets, and strong SQL.
  • Understanding of payment flows, authentication, transactional systems, and fraud detection machine learning models.
  • Fluent English required; worldwide availability with remote or hybrid work.

Nice to have

  • Experience in crypto, Web3, or blockchain.
  • Experience with Kafka, ClickHouse, Redis, Elasticsearch, or similar technologies.
  • Knowledge of AML, KYC, or payment risk systems.
  • Experience with device fingerprinting, behavioral analytics, or identity verification.

Culture & Benefits

  • Remote or hybrid work with flexible hours across international teams.
  • Support for courses, conferences, and English learning with up to 100% coverage.
  • Up to 20 vacation days, 8 company holidays, and 5 personal days per year.
  • Structured performance reviews and team recognition programs.
  • International team retreats, including company apartments in Cyprus.

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