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 employer: 慨正橡扯
Wise is an exceptional employer that fosters a collaborative and innovative work culture, particularly within the Receive Risk team. Employees benefit from competitive salaries, including RSUs, and have ample opportunities for professional growth through mentorship and continuous learning. Located in a dynamic environment, Wise prioritises the balance between delivering seamless user experiences and robust fraud prevention, making it a rewarding place for those passionate about technology and security.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Backend Engineer, Fraud & Risk Engine
✨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 really 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. It’s a great way to demonstrate your hands-on experience with distributed systems.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of fraud detection systems and microservices architecture. We want to see how you think and solve problems, so be ready to discuss your approach to building scalable, reliable systems.
✨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 at Wise.
We think you need these skills to ace Senior Backend Engineer, Fraud & Risk Engine
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:Don’t forget to mention your proficiency in Java or similar backend languages. If you have experience with messaging systems like Kafka or RabbitMQ, make sure to include that too, as it’s super relevant for what we do.
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 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 challenges you've faced in building high-performance systems. Think about examples where you balanced speed and scalability while mitigating risks, as this aligns perfectly with what the team is looking for.
✨Collaboration is Key
Since the role involves working closely with various teams, be ready to share experiences that highlight your communication and collaboration skills. Discuss how you’ve worked with product managers, data scientists, or fraud prevention analysts in the past.
✨Emphasise Your Growth Mindset
The company values a growth mindset, so come prepared to talk about how you’ve learned from past experiences and helped others grow. Mention any mentorship roles you've taken on and how you contribute to a culture of continuous learning.
