Senior Software Engineer II - FinCrime - Scam Prevention Team

Software Careers; Greater London; Vor Ort; GBP 111.000 - 145.000; Vollzeit

Benefits dieser Stelle

Wise Benefits

Zusammenfassung

Wise in London is seeking a Senior Software Engineer II for the FinCrime - Scam Prevention Team. You will own end-to-end delivery, applying Java and Spring to scale defenses against fraud and protect customer funds.

The role balances backend work (80%) and frontend (20%), with an emphasis on quality through TDD and collaboration with Product, Data Science and Investigations to ship robust, compliant solutions.

Qualifikationen

• Engineering experience with Java or JVM-based languages and Spring.
• Experience designing scalable web applications handling high traffic.
• Proven ability to design and operate CI/CD pipelines and distributed systems.
• Strong product mindset, accountability and data-driven decision making.
• Experience with relational and non-relational databases and query optimization.
• Commitment to Test Driven Development and best coding practices.

Aufgaben

• Build and refine critical controls to prevent scams and protect customers.
• Drive backend and frontend for scam prevention and detection systems (80/20 split).
• Deliver measurable security impact while accelerating product growth.

Kenntnisse

Java

Spring

Frontend React

Javascript/Typescript

CI/CD pipelines

Distributed systems

Concurrent systems

Product ownership

Data proficiency

Tools

SQL

NoSQL

Jobbeschreibung

# Senior Software Engineer II - FinCrime - Scam Prevention Teamat Wise • London, United KingdomBack to jobs1. Home2. Jobs3. United Kingdom4. Senior Software Engineer II - FinCrime - Scam Prevention Team—W## Senior Software Engineer II - FinCrime - Scam Prevention TeamWise20FinCrime - Scam Prevention TeamFull-timeGBP 111000 - GBP 145000 - yearlyLondon, United KingdomApply Job### Job DescriptionAbout the role:Join us as a Software Engineer in our critical Scam Prevention team. This is a high-impact engineering role with a strong product focus, dedicated to solving complex, real-world adversarial problems to directly protect our global customer base.How we work:The Scam Prevention TeamThe Scam Prevention team is on the front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage cutting-edge machine learning, real-time transaction monitoring, and advanced data analysis to create robust controls and detection capabilities. Our vision is to build a globally scalable fraud prevention engine that protects customer accounts, prevents scams, and consistently surpasses regulatory expectations.What will you be working on?This defining role involves continuously improving our financial crime prevention infrastructure and systems. You will deliver a direct, measurable impact on customer security by taking end-to-end ownership of projects focused on:\* Building and refining critical controls to prevent Wise customers from scams.\* Drive Backend and Frontend for our scam prevention and detection systems - You will be working 80% of the time on a backend and 20% on the frontend\* You will be delivering a tangible, real-world impact by securing customers' money, accelerating product growth by raising automation levels, and helping us engineer a world-class money transfer product.What do you need?\* Engineering Expertise: Professional experience with Java or other JVM-based languages, including the Spring framework. Experience building and designing scalable web applications that handle large amounts of traffic - ideally using React based frontend applications, Javascript / Typescript.\* System Design & Operation: Proven experience designing and operating CI/CD pipelines, Distributed, and Concurrent Systems.\* Product Ownership: A strong product mindset, accountability, and the ability to drive projects independently, making data-driven decisions with the customer in mind.\* Data Proficiency: Experience with relational and non-relational databases, including query optimisation and designing resilient schemas.\* Code Quality: Exceptional fundamentals, sharp problem-solving ability, and a commitment to Test Driven Development and best coding practices.\* Collaboration: Excellent communication skills to articulate complex technical concepts across teams (Product, Data Science, Investigations).Nice to Have:\* Familiarity with the machine learning lifecycle (data pipelines, feature engineering, and deploying ML systems into production).Interested? Find out more:\* [How we work – a practical guide](https://wise.jobs/how-we-work)\* [DEI @ Wise](https://wise.jobs/diversity-equity-and-inclusion)\* [Wise Tech Stack (2025 update)](https://medium.com/wise-engineering/wise-tech-stack-2025-update-d0e63fe718c7)\* [See what it's like to work at Wise London!](https://www.youtube.com/watch?v=XNMeFMoqBEA&feature=youtu.be)\* [Our Engineering career map](https://wise.jobs/engineering-career-map)\* Wise Engineering – [https://medium.com/wise-engineering](https://medium.com/wise-engineering)What do we offer:\* Starting salary: £111,000 - £145,000\* [Wise Benefits](https://wise.jobs/what-we-offer)