At a Glance
- Tasks: Build a cutting-edge fraud engine and collaborate with diverse teams to enhance product security.
- Company: Join Wise, a global tech leader revolutionising money management.
- Benefits: Competitive salary, visa relocation, and opportunities for professional growth.
- Other info: Dynamic team culture focused on innovation and continuous learning.
- Why this job: Make a real impact by preventing fraud and ensuring secure transactions.
- Qualifications: Experience in distributed systems, microservices, and backend programming, preferably Java.
The predicted salary is between 87000 - 111000 £ per year.
Wise is a global technology company, building the best way to move and manage the world’s money. The Receive Risk team is part of the 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.
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.
Key Responsibilities:- Build a fraud engine for new products.
- Collaborate with Product, Data Science, Fraud Prevention Analysts, and Fraud agents.
- Strike the right balance between scaling quickly and mitigating risk efficiently.
- 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.
- 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.
- Java
- Microservices
- Distributed Systems
- Kafka
- RabbitMQ
- SQL
Senior Backend Engineer: Fraud Engine & Microservices in London employer: Software Careers
Wise is an exceptional employer, offering a dynamic work environment in London where innovation meets collaboration. With a strong focus on employee growth and development, team members are encouraged to take ownership of their projects while benefiting from a culture that values continuous learning and mentorship. The opportunity to work on cutting-edge fraud detection systems not only enhances your technical skills but also contributes to a meaningful mission of securing financial transactions for customers worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Backend Engineer: Fraud Engine & Microservices in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and coding challenges. We recommend setting up mock interviews with friends or using platforms that simulate the real deal. The more you practice, the more confident you'll feel!
✨Tip Number 3
Showcase your projects! If you've built any cool stuff, make sure to have it ready to share. We love seeing practical examples of your work, especially if they relate to fraud detection or microservices.
✨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, we’re always on the lookout for passionate candidates who want to make a difference in the world of finance.
We think you need these skills to ace Senior Backend Engineer: Fraud Engine & Microservices in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior Backend Engineer. Highlight your experience with distributed systems and microservices, as well as any relevant projects that showcase your skills in fraud detection and prevention.
Showcase Your Skills:In your application, don’t just list your skills—show us how you've used them! Provide examples of high-performance systems you've built or contributed to, especially those involving Java, Kafka, or RabbitMQ.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you're passionate about building fraud engines and how your background aligns with our mission at Wise. Keep it engaging and personal, and let your personality come 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 you’re keen on joining our team!
How to prepare for a job interview at Software Careers
✨Know Your Tech Stack
Make sure you’re well-versed in Java and any other backend languages you’ve worked with. Brush up on your knowledge of microservices architecture and distributed systems, as these are crucial for the role. Be ready to discuss specific projects where you’ve implemented these technologies.
✨Understand the Fraud Landscape
Since the role focuses on building a fraud engine, it’s essential to have a grasp of current fraud trends and prevention techniques. Research Wise's approach to fraud detection and be prepared to share your thoughts on how you can contribute to enhancing their systems.
✨Collaboration is Key
This position requires close collaboration with various teams. Think of examples from your past experiences where you successfully worked with product managers, data scientists, or analysts. Highlight your communication skills and how you’ve fostered teamwork to achieve common goals.
✨Show Your Growth Mindset
Wise values a growth mindset, so be ready to discuss how you’ve learned from past challenges. Share instances where you’ve mentored others or contributed to a culture of continuous learning. This will demonstrate that you’re not just focused on your own development but also on helping your team grow.
