Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse large data sets to identify and manage risks effectively.
- Company: Join Checkout.com, a leader in the fintech space with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Make a real impact in risk management while working with cutting-edge technologies.
- Qualifications: Experience with data analysis, SQL, and knowledge of risk and fraud domains.
The predicted salary is between 50000 - 70000 £ per year.
As a Merchant Risk Analytics Analyst at Checkout.com, you will be dealing with the analysis of large data sets in a complex environment, using the latest tools and technologies. You will take the lead in ensuring the overall accuracy of models and data, whilst constantly striving to enhance data quality, adequateness and granularity. You will play a critical role in Risk Operations, developing rules and models to effectively detect, prevent and manage risk within the Checkout.com merchant portfolio.
What you will be doing:
- Develop and manage efficient data pipelines for identifying potential risks.
- Maintain and optimise the current Risk and Fraud monitoring system.
- Create and implement controls to ensure the accuracy and completeness of risk data.
About You:
- Experience working with large data sets in a data-driven environment is strongly preferred.
- Proficient in SQL and DBT to extract and model data from various sources.
- Ability to implement algorithms to solve business problems.
- Knowledge of the risk, fraud and dispute domain is beneficial.
- Knowledge or experience in programming languages such as Python or Javascript is beneficial.
Risk Data Analyst Second Line Risk and Partnerships London employer: Checkout Ltd
Contact Detail:
Checkout Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Risk Data Analyst Second Line Risk and Partnerships London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Checkout.com. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got experience with SQL, DBT, or even Python, make sure to highlight these in conversations. We want to see how you can tackle real-world problems with your tech know-how.
✨Tip Number 3
Prepare for the interview by brushing up on risk analytics concepts. We love candidates who can discuss how they would develop data pipelines or optimise monitoring systems. Be ready to share your ideas!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the Checkout.com team.
We think you need these skills to ace Risk Data Analyst Second Line Risk and Partnerships London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of a Risk Data Analyst. Highlight your experience with large data sets and any relevant tools like SQL or DBT. We want to see how your skills match what we're looking for!
Showcase Your Projects: If you've worked on projects involving risk analysis or data pipelines, don’t hold back! Share specific examples that demonstrate your ability to manage and optimise data systems. This will help us see your practical experience.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate straightforward communication!
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 to do!
How to prepare for a job interview at Checkout Ltd
✨Know Your Data Tools
Make sure you brush up on your SQL and DBT skills before the interview. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Understand Risk Management
Familiarise yourself with the concepts of risk, fraud, and dispute management. Prepare examples of how you've identified and mitigated risks in previous roles, as this will show your understanding of the domain.
✨Showcase Your Analytical Skills
Be prepared to talk about your experience with large data sets. Think of specific instances where your analysis led to actionable insights or improvements in processes, and be ready to explain your thought process.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's risk operations and data strategies. This not only shows your interest in the role but also gives you a chance to demonstrate your knowledge and enthusiasm for the field.