At a Glance
- Tasks: Build and optimise a fraud engine for secure onboarding of payment products.
- Company: Join Wise, a leader in innovative financial solutions with an inclusive culture.
- Benefits: Competitive salary, RSUs, and a supportive work environment.
- Other info: Dynamic role with opportunities for growth and impact in financial security.
- Why this job: Shape the future of fraud detection while collaborating with diverse teams.
- Qualifications: Experience in distributed systems, microservices, and backend languages like Java.
The predicted salary is between 63000 - 77000 £ per year.
Overview
In this role you will build and optimize a fraud engine to enable rapid, secure onboarding of new payment products.
You will collaborate with product, data science, and fraud teams to balance user experience with risk control at scale.
The position centers on delivering high-performance, scalable backend services that support Wise’s Acquiring products while reducing exposure to fraud.
You will shape how we detect, prevent, and respond to financial crime as part of a cross-functional squad.
- Pay / Benefits
- RSUs
- Wise Benefits
- competitive starting salary
- inclusive culture
Responsibilities
- Design and implement a fraud engine to ship new products and features quickly while managing risk and cost
- Collaborate with Product, Data Science, Fraud Prevention Analysts and Fraud agents to balance speed, usability and security
- Develop distributed, high-performance backend services with a focus on scalability and reliability
- Maintain end-to-end ownership of features across the development lifecycle
- Work with microservices architecture and messaging systems to handle large-scale traffic
- Key requirements
- Hands-on experience with distributed systems and microservices
- Proven ability to deliver high-performance, low-latency backend systems
- Strong product-oriented mindset and cross-team collaboration
- Proficiency in Java (preferred) or equivalent backend language
- Experience with messaging systems (Kafka or Rabbit MQ) and SQL databases
- Excellent communication skills and growth mindset
- Experience delivering user and business value
- strong collaboration skills
- growth mindset
- clear communication
- Java or similar backend language
- distributed systems and microservices
- Kafka or Rabbit MQ
Senior Software Developer II - Receive Risk in London employer: Wise
Wise is an exceptional employer that fosters a culture of inclusivity and innovation, making it an ideal place for a Lead ML / Data Scientist to thrive. With a hybrid working model, generous personal development budgets, and a commitment to employee growth, you will have the flexibility and resources to excel in your role while contributing to meaningful projects that redefine how money moves globally.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Developer II - Receive Risk in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Wise or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Wise.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Wise.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Wise that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Software Developer II - Receive Risk in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Wise.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Wise and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Wise
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Wise uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
