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- Tasks: Develop rules and models to manage risk in our portfolio.
- Company: Checkout.com is a global leader in payment solutions, committed to innovation and community.
- Benefits: Enjoy a supportive work environment with opportunities for growth and development.
- Why this job: Join a mission-driven team where your analytical skills can make a real impact.
- Qualifications: Experience with large data sets, SQL, and programming languages like Python or R is essential.
- Other info: We encourage applicants who connect with our values, even if they don't meet all requirements.
The predicted salary is between 43200 - 72000 £ per year.
As a Senior Risk Analyst 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.
Qualifications
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.
Additional Information
Apply without meeting all requirements statement
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.
We believe in equal opportunities
We work as one team. Wherever you come from. However you identify. And whichever payment method you use.
Our clients come from all over the world – and so do we. Hiring hard-working people and giving them a community to thrive in is critical to our success.
When you join our team, we’ll empower you to unlock your potential so you can do your best work. We’d love to hear how you think you could make a difference here with us.
We want to 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. We’ll be happy to support you.
Take a peek inside life at Checkout.com via
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Checkout.com
Senior Credit Analytics Analyst employer: Checkout.com
Contact Detail:
Checkout.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Credit Analytics Analyst
✨Tip Number 1
Familiarize yourself with the specific credit risk principles and models mentioned in the job description, such as PD, LGD, and EAD. Being able to discuss these concepts confidently during your interview will demonstrate your expertise and alignment with the role.
✨Tip Number 2
Showcase your experience with large data sets and SQL by preparing examples of past projects where you successfully extracted and modeled data. This will help illustrate your hands-on skills and problem-solving abilities in a data-driven environment.
✨Tip Number 3
If you have programming experience in Python, R, or JavaScript, be ready to discuss how you've used these languages in your previous roles. Highlighting specific projects or tasks where you applied these skills can set you apart from other candidates.
✨Tip Number 4
Connect with the company's mission and values. Research Checkout.com’s culture and think about how your personal values align with theirs. Be prepared to share your thoughts on how you can contribute to their goals during the interview.
We think you need these skills to ace Senior Credit Analytics Analyst
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities of a Senior Credit Analytics Analyst at Checkout.com. Highlight your experience with large data sets, SQL, and any programming languages like Python or R in your application.
Showcase Relevant Experience: Emphasize your previous work in payments or lending environments. Detail your experience with credit risk principles and any specific models you've developed, such as PD, LGD, or EAD models.
Tailor Your Application: Customize your CV and cover letter to reflect how your skills align with the job description. Use keywords from the job posting to demonstrate that you are a good fit for the role.
Express Your Passion: In your application, convey your enthusiasm for the mission and values of Checkout.com. Share how you believe you can contribute to their success and make a difference within the team.
How to prepare for a job interview at Checkout.com
✨Showcase Your Data Skills
Be prepared to discuss your experience with large data sets and how you've used SQL to extract and model data. Highlight specific projects where you successfully identified anomalies or patterns.
✨Demonstrate Programming Proficiency
Since programming knowledge is essential, be ready to talk about your experience with languages like Python, R, or Javascript. Consider sharing examples of how you've applied these skills in risk analysis.
✨Understand Credit Risk Principles
Make sure you have a solid grasp of credit risk principles. Be prepared to discuss your previous work in payments or lending environments and how it relates to the role.
✨Discuss Model Development Experience
If you have experience developing PD, LGD, or EAD models, be ready to explain your approach and the impact of your work. This will demonstrate your ability to contribute to the team's goals.
