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For Companies At a Glance
- Tasks: Develop risk models and identify anomalies in large data sets.
- Company: Join Checkout.com, a leading fintech company transforming digital payments.
- Benefits: Flexible hybrid work model, competitive salary, and opportunities for personal growth.
- Why this job: Make a real impact in the fintech world while growing your career.
- Qualifications: Experience with SQL, programming languages, and credit risk principles.
- Other info: Dynamic team culture that values diversity and collaboration.
The predicted salary is between 43200 - 72000 £ per year.
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 Senior Risk Data Scientist at Checkout.com, you will play a critical role in the Risk Team, developing rules and models to effectively detect, prevent and manage risk within the overall Checkout.com portfolio.
About You
- Worked with large data sets in a data-driven environment.
- Used SQL skills to extract and model data from a variety of data sources.
- Programming language knowledge or experience (e.g. Python, R, Javascript) is essential.
- Strong understanding of credit risk principles and has worked in either payments or lending environments previously.
- Experience developing, maintaining and implementing PD, LGD, EAD models for ECL measurement purposes is preferred.
What you will be doing:
- Build and maintain data-driven risk identification processes.
- Devise advanced analytical methods to identify anomalies and patterns within large data sets.
- Developing and implementing Rating Scorecards, PD, LGD, EAD models.
- Maintain and optimise the current Credit Risk reporting system.
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.
Bring all of you to work
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.
Senior Risk Data Scientist Operations London employer: Checkout Ltd
Contact Detail:
Checkout Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Risk Data Scientist Operations 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
Show off your skills! If you've got experience with SQL or programming languages like Python, bring it up in conversations. Share examples of how you've tackled data challenges in the past.
✨Tip Number 3
Prepare for interviews by diving deep into risk management topics. Brush up on credit risk principles and be ready to discuss how you've applied them in real-world scenarios.
✨Tip Number 4
Don't hesitate to apply through our website! Even if you don't tick every box, we love hearing from passionate candidates who resonate with our mission. Your unique perspective could be just what we need!
We think you need these skills to ace Senior Risk Data Scientist Operations London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Risk Data Scientist role. Highlight your experience with large data sets, SQL skills, and any programming languages you know. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about risk data science and how your skills can contribute to our mission at Checkout.com. Keep it concise but impactful – we love a good story!
Showcase Relevant Experience: When filling out your application, make sure to showcase any relevant experience in credit risk principles or model development. If you've worked in payments or lending environments, let us know – it could set you apart from other candidates!
Apply Through Our Website: We encourage you to apply through our website for the best experience. It’s straightforward and ensures your application gets to the right people. Plus, you’ll find all the info you need about the role and our culture there!
How to prepare for a job interview at Checkout Ltd
✨Know Your Data Inside Out
As a Senior Risk Data Scientist, you'll be working with large data sets. Make sure you brush up on your SQL skills and be ready to discuss how you've extracted and modelled data in previous roles. Prepare specific examples of how you've used data to identify risks or anomalies.
✨Showcase Your Programming Skills
Familiarity with programming languages like Python or R is essential for this role. Be prepared to talk about projects where you've applied these skills, especially in developing models for credit risk. If possible, bring along code snippets or project summaries to demonstrate your expertise.
✨Understand Credit Risk Principles
Since the role involves credit risk, make sure you have a solid grasp of key concepts like PD, LGD, and EAD models. Be ready to discuss your experience in payments or lending environments and how you've implemented these models in your past work.
✨Emphasise Team Collaboration
Checkout.com values teamwork and collaboration. Think of examples where you've worked effectively within a team to solve complex problems or deliver impactful results. Highlight how you support your colleagues and contribute to a positive team dynamic.
