Role details
Company 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.
- Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.
- As part of our team, you will be helping us create an entirely new network for the world's money.
- For everyone, everywhere.
- More about our mission and what we offer .
Job Description
- Wise moves billions every year for millions of people and businesses across many different countries and currencies; while bad actors constantly evolve: scams, impersonation, account takeover, money laundering, mule networks, and other forms of abuse emerge.
- At this scale, in order to stay ahead of evolving threats, our automated controls and machine learning models require high-quality, real-time insights.
- Success lies in a centralized approach that provides the necessary governance, speed, and data consistency to power these critical systems.
- Wise's centralized feature engineering platform for financial crime detection is the Feature Platform.
- Its goal is that every fraud signal, AML indicator, and risk feature flows through a single governed platform instead of each team maintaining siloed calculations.
- It owns the feature lifecycle tracks from finding, experimenting, and building data points to using them in millions of transactions daily.
Qualifications
How can you contribute?
- Engineering. Tackle complex technical challenges focused on scalability, reliability, and speed, maintaining a high-performance infrastructure that processes millions of events with low latency.
- Innovation. Collaborate with Data Scientists and Engineers to design and implement cutting-edge feature topologies, including graphs, support vectors, and time-series data to stay ahead of evolving financial threats.
- Engagement. Drive platform adoption by partnering with teams across Wise to centralize existing risk logic and expand our self-service capabilities, ensuring that all risk signals are robust, governed, and consistent.
What does it take?
- 3+ years of Java 11+ knowledge, fluent in Java 21+
- Familiarity with Python (or willingness to learn on the job)
- 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, you prioritise work with the customers in mind and drive data-driven decisions to fix customer pain-points
- Strong problem-solving skills to help refine problem statements and figure out how to solve them with the available data and from first principles
- High level of ownership, including identifying impactful problems to solve, getting buy-in from stakeholders and implementing the solution end-to-end
Nice to have
- 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
- Experience with graph databases like Amazon Neptune
What does success look like?
- You'll be having a real world impact by building financial crime prevention systems which protect customers
- You'll have onboarded and found your place through understanding your team and tribe vision and how you can contribute
- You'll understand how our values can help you guide your work
- You'll understand the reasons behind problematic payments and customer difficulties and how to go about solving them
- Understand our customers and the impact our product makes in their lives
- You'll help us scale-up and build a world class money transfer product by finding solutions to our technical challenges and opportunities
Additional Information
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 Wise.Jobs .
- Keep up to date with life at Wise by following us on LinkedIn and Instagram .