Description
Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed.
As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere.
The Risk Intelligence Platform team, part of Risk Machine Learning, builds the tools and automation that help Wise's FinCrime teams develop and improve those models. Our work covers areas such as model experimentation, bias and fairness, automated training-set maintenance, and threshold analysis.
As a Senior Software Engineer, you will work at the intersection of Backend Engineering, data and machine learning, solving complex Engineering problems that directly support Wise's FinCrime prevention capabilities.
Qualifications:
- Typically 5+ years of experience with Java (11+, 21+)
- Familiarity with Python
- Experience with batch or stream processing (preferably Apache Spark and Flink/Kafka streams)
- Familiarity with SQL and no-SQL (document) databases
- Experience with complex systems distributed across several microservices, Kafka, scattered data and ownership
- Hands-on knowledge of system integration patterns
- A strong product mindset and passion for user experience
Nice to have:
- ML Engineering background, such as model training pipelines, automated label quality assurance, model experimentation frameworks
- Data Engineering background, such as experience with large-scale data pipelines, feature engineering and serving infrastructure, familiarity with graph algorithms and/or embedding techniques, awareness of data governance practices
- Experience with Apache Iceberg and/or Trino
What we offer you:
- Salary range: 5750 - 7083.33 EUR gross/monthly
- RSUs in a growing company
- An annual self-development budget
- 3 fully paid ‘me days’ per year to help you manage life
- 6 weeks’ paid time off plus £1,000 in financial support after 4 years at Wise
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