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Wise Payments Limited Magyarországi Fióktelepe

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Backend Engineer - North America Risk Prevention

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Summary

Backend engineer at Wise's Budapest office building and owning real-time risk and fraud prevention infrastructure for US Instant ACH. Day-to-day: JVM services (Java/Kotlin, Spring), Kafka/Flink streaming, low-latency (<1s p99) distributed systems, and ML-powered risk decisions with data scientists.

  • Real-time decision making with machine learning for risk assessments
  • Ownership of risk infrastructure for Instant ACH in the US market
  • Cross-functional collaboration with software engineers, data analysts, and data scientists
  • Future-proofing risk systems to handle comprehensive risk types including Sanctions and AML
  • 4+ years of experience with Java, Kotlin, or other JVM-based languages with deep knowledge of the Spring framework
  • Design of technical solutions optimizing for throughput and speed with p99 end-to-end latency under 1 second for real-time risk and fraud checks
  • Deep understanding of JDBC, database internals, and query optimization
  • Hands-on experience with Kafka, Kafka Streams, or Apache Flink for real-time event processing
  • Experience with CI/CD pipelines and designing scalable, resilient distributed systems
  • Prioritization of work with customer focus using data to fix pain points
  • End-to-end ownership of projects from idea to production monitoring
  • Ability to articulate complex technical concepts to non-technical audiences
  • Experience in cross-functional collaboration with data scientists and data analysts
  • Familiarity with machine learning basics including data pipelines, feature engineering, precision and recall
  • Experience with OLAP databases or data lakes such as Apache Iceberg with Kafka ingestion

Skills

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See also

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