The North America Risk team builds real-time risk and fraud prevention systems protecting Wise's largest and most dynamic market, North America.
Responsibilities
- ▹Real-time risk assessment using machine learning on every use of the quote calculator
- ▹Own the risk infrastructure for Instant ACH
- ▹Daily collaboration with software engineers, data analysts and data scientists to design new rules and refine ML models
- ▹Expand risk coverage in the US and Canada, including Sanctions and AML (Anti-Money Laundering)
Requirements
- ▹4+ years of experience with Java, Kotlin or other JVM-based languages, with deep knowledge of the Spring framework
- ▹Ability to design technical solutions optimizing for both throughput and speed (p99 end-to-end latency under 1 second)
- ▹Deep understanding of JDBC, database internals and query optimisation
- ▹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
Nice to have
- ▹Familiarity with machine learning basics: data pipelines, feature engineering, precision/recall
- ▹Experience with OLAP databases or data lakes (e.g. Apache Iceberg) with Kafka ingestion
Soft skills
Product & user focus, using data to fix pain pointsEnd-to-end ownership of projectsStrong communication of complex technical concepts to non-technical audiencesDaily cross-functional collaboration with data scientists and analysts
About the company
Wise is a global technology company building the best way to move and manage the world's money — minimal fees, maximum ease, full speed, for everyone, everywhere.
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