Senior Software Engineer - Fraud Risk (relocation support provided)

Team you will be joining: Fraud Risk

The Fraud Risk team at Wise is dedicated to safeguarding our platform against financial crime and ensuring the protection of our legitimate customers. Leveraging cutting-edge machine learning, real-time transaction monitoring, and data analysis, our team is responsible for developing and enhancing fraud detection systems. Software engineers, data analysts, and data scientists collaborate on a daily basis to continuously improve our systems and provide support to our fraud investigation team.

Our main vision points are:

• Build a scalable and maintainable fraud detection engine where we optimise for speed (<1s risk assessment) and throughput (20k transactions per minute) at the same time

• Utilise machine learning techniques to identify potential risks associated with customer activity.

• Foster a strong partnership between our fraud investigators and the product team to develop solutions that leverage the expertise of fraud prevention specialists.

• Not only meet the requirements set by regulators and auditors but also surpass their expectations.

Is that you?

• Software engineering experience, with significant experience in Java or other JVM-based languages. 

• Hands-on experience working with relational and non-relational databases, query optimisations, designing and evolving schemas
   
• Hands-on experience with Kafka, Kafka Streams or Apache Flink
   
• Experience with OLAP databases or data-lakes (Apache Iceberg) with Kafka ingestion is a plus
   
• Experience with machine learning basics (data pipelines, feature engineering, recall/precision, familiarity with machine learning systems in production), working with Apache Spark and Amazon SageMaker is a huge plus
   
• Being able to propose technical solutions that optimise for latency and throughput at the same time - aka: p99 end-to-end latency is under 1 second for real-time payment fraud checks even when a significant amount of transactions are in the system

What does success look like? 

• You’ll have found your place in our mission by understanding how to drive engineering solutions and suggesting future challenges

• You’ll understand our customers and the impact our product makes in their lives 

• You’ll make contributions to the wider engineering goals of the company

• You’ll inspire a team environment where ideas are shared and openness is valued

• You’ll help us scale-up and build a world class money product that impacts millions of customers

For everyone, everywhere. We're people building money without borders  — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Instagram.