Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Enhance data quality and develop risk management rules through data analysis.
- Company: Join Checkout.com, a leader in the fintech space with a dynamic culture.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Exciting career prospects in a fast-paced environment in Greater London.
- Why this job: Make a real impact by tackling fraud and improving business solutions.
- Qualifications: Experience in data analysis, SQL, and knowledge of Python or Javascript is a plus.
The predicted salary is between 50000 - 65000 £ per year.
Checkout.com is seeking a Merchant Risk Analytics Analyst to enhance data quality and develop rules for risk management. The role involves analyzing large data sets, maintaining the fraud monitoring system, and implementing algorithms for business problem-solving.
Candidates should have experience in data analysis, SQL, and DBT, with programming knowledge in Python or Javascript beneficial. Join us in a dynamic environment in Greater London.
Merchant Risk Analytics Engineer in London employer: Checkout.com
Contact Detail:
Checkout.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Merchant Risk Analytics Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving SQL, DBT, or Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to risk analytics and data management. Practice explaining your thought process when solving problems, as this is key in demonstrating your analytical skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Merchant Risk Analytics Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis, SQL, and any relevant programming skills. We want to see how your background aligns with the role of Merchant Risk Analytics Engineer, so don’t hold back on showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about risk management and how your skills can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Analytical Skills: In your application, include examples of how you've tackled complex data sets or developed algorithms in the past. We’re looking for problem solvers, so let us know how you’ve made a difference in previous roles!
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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Checkout.com
✨Know Your Data Inside Out
Make sure you’re well-versed in data analysis techniques and can discuss your experience with large data sets. Be prepared to share specific examples of how you've enhanced data quality or developed rules for risk management in previous roles.
✨Brush Up on SQL and DBT
Since the role requires strong SQL skills, practice writing complex queries and be ready to explain your thought process. Familiarise yourself with DBT as well, and think about how you’ve used it to transform data in past projects.
✨Showcase Your Programming Skills
If you have experience with Python or Javascript, be ready to discuss how you’ve applied these languages in your work. Consider preparing a small project or example that demonstrates your coding abilities and problem-solving skills.
✨Understand the Fraud Monitoring System
Research how fraud monitoring systems work and be prepared to discuss any relevant experience you have. Think about how you would approach maintaining such a system and what algorithms you might implement to solve business problems.