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- Tasks: Analyse large data sets to identify and manage risks in a dynamic fintech environment.
- Company: Join Checkout.com, a leading player in the fintech space trusted by major brands.
- Benefits: Flexible hybrid working model, competitive salary, and opportunities for personal growth.
- Other info: Collaborative culture where your contributions are valued and recognised.
- Why this job: Make a real impact in the world of digital payments while developing your skills.
- Qualifications: Experience with data analysis, SQL, and a passion for risk management.
The predicted salary is between 50000 - 60000 £ per year.
We’re Checkout.com – you might not know our name, but companies like eBay, ASOS, Klarna, Uber Eats, and Sony do. That moment when you check out online? We make it happen. Checkout.com is where the world checks out. Our global network powers billions of transactions every year, making money move without making a fuss. We spent years perfecting a service most people will never notice. Because when digital payments just work, businesses grow, customers stay, and no one stops to think about why.
With 19 offices spanning six continents, we feel at home everywhere – but London is our HQ. Wherever our people work their magic, they’re fast-moving, performance-obsessed, and driven by being better every day. Ideal. Because a role here isn’t just another job; it’s a career-defining opportunity to build the future of fintech.
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.
If you don't meet all the requirements but think you might still be right for the role, please apply anyway. We're always keen to speak to people who connect with our mission and values.
Additional Information
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram.
Risk Data Analyst in London employer: Checkout.com
Contact Detail:
Checkout.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Risk Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, 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
Prepare for the interview by brushing up on your SQL and data analysis skills. We love seeing candidates who can demonstrate their technical prowess and problem-solving abilities with real examples.
✨Tip Number 3
Show us your passion for risk management! Be ready to discuss trends in fraud detection and how you can contribute to our mission. We want to see your enthusiasm shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Risk Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Risk Data Analyst. Highlight your experience with large data sets, SQL, and any relevant programming languages. We want to see how your skills align with what we do at Checkout.com!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for fintech and how you can contribute to our mission. Don’t forget to mention any experience in risk and fraud analysis – it’ll definitely catch our eye!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love seeing candidates who can think critically and implement effective solutions, so let us know how you’ve done this before!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the info you need about our culture and values there!
How to prepare for a job interview at Checkout.com
✨Know Your Data Inside Out
As a Risk Data Analyst, you'll be working with large data sets. Make sure you brush up on your SQL and DBT skills before the interview. Be prepared to discuss how you've used these tools in past projects and how they can help solve business problems.
✨Understand the Risk Landscape
Familiarise yourself with the risk, fraud, and dispute domain. Research common challenges companies face in this area and think about how you can contribute to solving them. This will show your potential employer that you're not just technically skilled but also understand the bigger picture.
✨Prepare for Technical Questions
Expect technical questions related to algorithms and data modelling. Practice explaining your thought process clearly and concisely. You might even want to run through some coding exercises or case studies to demonstrate your problem-solving abilities.
✨Show Your Team Spirit
Checkout.com values teamwork and collaboration. Be ready to share examples of how you've worked effectively in teams in the past. Highlight your ability to support others and how you thrive in a fast-paced environment, as this aligns with their company culture.