Fullstack Engineer – Scam Prevention

About the role

Wise is hiring a Fullstack Engineer for its Scam Prevention team in Tallinn. This is a high-impact, product-focused engineering role that tackles complex adversarial problems to protect Wise's global customers. The team safeguards the platform against sophisticated financial crime using machine learning, real-time transaction monitoring and advanced data analysis.

Key responsibilities

• Continuously improve the financial crime prevention infrastructure and systems.
• Build and refine critical controls that prevent Wise customers from being scammed.
• Drive both backend and frontend development for scam prevention and detection systems, with 80% of the work on backend and 20% on frontend.
• Take end-to-end ownership of projects, delivering measurable impact on customer security and raising automation levels.

Required profile

• Professional experience with Java or other JVM-based languages, including the Spring framework.
• Experience building and designing scalable web applications handling large traffic, ideally with React-based frontend and JavaScript/TypeScript.
• Proven experience designing and operating CI/CD pipelines, distributed and concurrent systems.
• Strong product mindset, accountability and ability to drive projects independently, making data-driven decisions.
• Experience with relational and non-relational databases, including query optimisation and resilient schema design.
• Commitment to test-driven development and best coding practices.
• Excellent communication skills to explain complex technical concepts to Product, Data Science and Investigations teams.

Nice to have

• Familiarity with the machine learning lifecycle, including data pipelines, feature engineering and deploying ML systems into production.