Senior Software Developer

Wise is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed.

You will join the Fraud Risk team, where we are dedicated to preventing fraud before it happens and keeping Wise customers safe in real time. Our mission is to stop fraudulent activity at the point of attempt by running instant checks on transfers and customer profiles, making accurate risk decisions with minimal friction.

Responsibilities:

• Shape and build the systems that prevent fraud and scams through real-time transfer and profile decisioning.
• Own the technical roadmap and deliverables of key projects in our prevention domain, delivering them predictably and with clear customer impact.
• Build deep expertise across our technical and fraud domains, driving continuous improvements in latency, reliability, and decision quality across our decisioning platform.
• Address technical debt, keep risk within appetite, and enforce Wise's engineering best practices.
• Multiply team impact by mentoring engineers, sharing knowledge to eliminate single points of failure, leading onboarding, and interviewing future talent.
• Contribute beyond the team through guilds and cross-team engineering efforts to reduce duplicated work across fraud and risk domains.

Qualifications:

• Strong experience building and operating production systems on Java/JVM, with expert-level knowledge of your technical discipline.
• Solid understanding of distributed systems and event-driven architectures.
• A track record of contributing significantly to large, impactful projects and owning their technical direction.
• Experience designing systems with long-term iteration and scaling in mind.
• Accountability for the reliability, security, and observability of the systems you build.
• Ability to articulate why something is being built, what customer problem it solves, and what impact to expect.
• Experience mentoring and coaching other engineers.
• Excellent communication skills to collaborate effectively across functions.

Nice to Have:

• Experience with Python, machine learning concepts, deploying models in production, or working with large language models in production.