At a Glance
- Tasks: Build smart fraud detection systems and collaborate on innovative product features.
- Company: Join a diverse and inclusive team at Wise, dedicated to secure money transfers.
- Benefits: Competitive salary, RSUs, and a culture of continuous learning.
- Other info: Opportunity for mentorship and career growth in a dynamic environment.
- Why this job: Make a real impact by preventing fraud while working with cutting-edge technology.
- Qualifications: Experience in distributed systems, Java, and strong collaboration skills.
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
We believe teams are strongest when they are diverse, equitable and inclusive. We are proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
Senior Backend Engineer - Fraud Risk & Scalable Systems employer: Dangote Industries Limited
Wise is an exceptional employer that champions diversity, equity, and inclusion within its teams, fostering a collaborative environment where every employee feels valued and empowered. With a strong focus on professional growth, employees have access to mentorship opportunities and are encouraged to contribute to a culture of continuous learning, all while working on innovative fraud detection systems in a dynamic and supportive setting. Located in a vibrant city, Wise offers competitive salaries and benefits, making it an attractive choice for those seeking meaningful and rewarding employment.
Contact Details:
Dangote Industries Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Backend Engineer - Fraud Risk & Scalable Systems
✨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 it’s really like to work there.
✨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 scalable architectures. We want to see how you think and solve problems, so be ready to discuss your approach to building high-performance 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 & Scalable Systems
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with distributed systems and backend services. We want to see how your skills align with our needs, so don’t be shy about showcasing your Java expertise and any relevant projects you've worked on.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about fraud detection and prevention. Share specific examples of how you've tackled similar challenges in the past and how you can contribute to our mission at StudySmarter.
Show Off Your Collaboration Skills:We love teamwork! In your application, mention experiences where you’ve worked closely with product teams or data scientists. Highlight how you’ve balanced speed and risk in your previous roles, as this is key for us in building effective fraud engines.
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 gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Dangote Industries Limited
✨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, low-latency systems. Think about challenges you faced and how you overcame them, particularly in fraud detection or risk management scenarios.
✨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. Highlight any successful projects where teamwork was essential to achieving results.
✨Emphasise Your Growth Mindset
Demonstrate your commitment to continuous learning and mentorship. Share experiences where you’ve helped others grow or how you’ve adapted to new technologies and concepts, especially in machine learning or data pipelines.
