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- Tasks: Analyse large data sets and enhance data quality to combat fraud.
- Company: Join Checkout Ltd, a leader in risk analytics and fraud prevention.
- Benefits: Competitive salary, flexible working hours, and opportunities for growth.
- Other info: Be part of a dynamic team focused on innovation and impact.
- Why this job: Make a real difference in risk management while working with data.
- Qualifications: Experience in data analysis, SQL, and ideally Python or Javascript.
The predicted salary is between 45000 - 55000 £ per year.
Checkout Ltd is seeking a Merchant Risk Analytics Analyst to analyze large data sets and enhance data quality. The role involves developing and managing data pipelines, maintaining risk and fraud monitoring systems, and implementing controls for data accuracy.
Candidates should have experience in a data-driven environment, be proficient in SQL and DBT, and ideally have knowledge of programming languages like Python or Javascript. This role is crucial for managing risk within the Checkout.com merchant portfolio.
Merchant Risk Analytics Pro — Data-Driven Fraud & Risk Ops in London employer: Checkout Ltd
Contact Detail:
Checkout Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Merchant Risk Analytics Pro — Data-Driven Fraud & Risk Ops in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your SQL, DBT, and any coding projects. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data analytics questions. Practice explaining your thought process when tackling data problems—it's all about showing how you think!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it makes it easier for us to find your application.
We think you need these skills to ace Merchant Risk Analytics Pro — Data-Driven Fraud & Risk Ops in London
Some tips for your application 🫡
Show Off Your Data Skills: Make sure to highlight your experience with data analysis and any tools you've used, like SQL or DBT. We want to see how you’ve tackled large data sets in the past!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific skills and experiences that match the Merchant Risk Analytics role. We love seeing candidates who take the time to connect their background to what we do.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s relevant. Make it easy for us to see why you’re a great fit for the team!
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Checkout Ltd
✨Know Your Data Inside Out
Make sure you’re familiar with the types of data you'll be working with. Brush up on your SQL and DBT skills, and be ready to discuss how you've used them in past roles. Prepare examples of how you've enhanced data quality or developed data pipelines.
✨Showcase Your Analytical Skills
Be prepared to demonstrate your analytical thinking. Think of specific instances where you identified risks or fraud through data analysis. Use metrics and outcomes to illustrate your impact, as this will resonate well with the interviewers.
✨Brush Up on Programming Languages
If you have experience with Python or Javascript, make sure to highlight it. Be ready to discuss any projects where you’ve used these languages to solve problems or improve processes. If you don’t have much experience, consider doing a quick refresher before the interview.
✨Understand the Company’s Risk Landscape
Research Checkout Ltd and its merchant portfolio. Understand the common risks they face and think about how your role would contribute to mitigating those risks. This shows that you’re not just interested in the job, but also in the company’s mission and challenges.