At a Glance
- Tasks: Build a fraud engine to enhance product features while managing risk effectively.
- Company: Join Wise, a leader in secure money transfer solutions.
- Benefits: Competitive salary, RSUs, and a culture of continuous learning.
- Other info: Collaborative environment with opportunities for mentorship and growth.
- Why this job: Make a real impact by preventing fraud and ensuring secure transactions.
- Qualifications: Experience with distributed systems and proficiency in Java or similar languages.
The predicted salary is between 87000 - 111000 £ per year.
Team you will be working with: Receive Risk
The Receive Risk team is part of Acquiring Squad, in the Global Product tribe, dedicated to ensuring customers can receive money quickly and securely, using our full suite of Acquiring products. We build smart fraud detection and prevention systems to stop scammers and fraudsters from exploiting Wise or defrauding our customers. Supporting our full suite of Acquiring products - QuickPay, Payment links, Invoices, e-commerce, and more - we work closely with our financial crime teams to strike the perfect balance: seamless experiences for legitimate users, strong barriers against bad actors.
What will you be working on?
We're looking for a Backend Engineer to build a fraud engine that will help us ship new products and features quickly while keeping risk and cost low. This will involve working closely with Product, Data Science, Fraud Prevention Analysts and our Fraud agents to strike the right balance between scaling quickly and mitigating risk efficiently.
What do you need?
- Hands-on experience with distributed systems, including microservices architecture and backend services supporting large-scale traffic.
- Proven ability to deliver high-performance, low-latency systems with a focus on speed, scalability, and reliability.
- Strong product-oriented mindset, with end-to-end ownership of features and close collaboration across teams.
- Proficiency in Java (preferred) or solid experience with similar backend programming languages.
- Familiarity with messaging systems such as Kafka or RabbitMQ, and strong knowledge of relational databases (SQL).
- Excellent communication and collaboration skills, combined with a growth mindset and focus on delivering user and business value.
Nice to Have:
- Understanding of basic machine learning concepts and experience building data pipelines.
- Mentorship experience, helping team members grow and contributing to a culture of continuous learning.
What do we offer:
Starting salary: £87,000 - £111,000 + RSU Wise Benefits
Senior Backend Engineer, Fraud & Risk Engine in London employer: 慨正橡扯
At Wise, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Senior Backend Engineer in our Receive Risk team, you'll not only contribute to cutting-edge fraud detection systems but also enjoy competitive salaries, robust employee benefits, and ample opportunities for professional growth. Our commitment to continuous learning and mentorship ensures that you will thrive in your career while making a meaningful impact in the financial technology space.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Backend Engineer, Fraud & Risk Engine in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Wise. A friendly chat can open doors and give you insider info on what they're looking for.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects that highlight your backend engineering prowess, make sure to share it. Real-world examples of your work can speak volumes.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of fraud detection systems and distributed architectures. Be ready to discuss how you can contribute to building a robust fraud engine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Senior Backend Engineer, Fraud & Risk Engine in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your hands-on experience with distributed systems and any relevant projects you've worked on that showcase your ability to deliver high-performance systems.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about fraud detection and prevention. Share specific examples of how you've collaborated with cross-functional teams in the past, as this is key for the role.
Showcase Your Technical Skills:Be clear about your proficiency in Java or similar backend languages. If you have experience with messaging systems like Kafka or RabbitMQ, make sure to mention it. We want to see your technical prowess shine through!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at 慨正橡扯
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Java and distributed systems. Brush up on your knowledge of microservices architecture and be ready to discuss how you've implemented these in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've built high-performance systems or tackled fraud detection challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Collaboration is Key
Since this role involves working closely with various teams, be ready to talk about your experience collaborating with product managers, data scientists, and analysts. Share examples of how you’ve successfully worked in cross-functional teams to deliver value.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current fraud prevention strategies or how they balance user experience with security. This demonstrates your engagement and helps you assess if the company is the right fit for you.
