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Credit Analytics Analyst

Checkout.com

Checkout.com

IT, Data Science
London, UK
Posted on Nov 28, 2024

Company Description

We’re Checkout.com

Checkout.com is one of the most exciting and valuable fintechs in the world, with our Series D taking our valuation to $40 billion. Our mission is to enable businesses and their communities to thrive in the digital economy. We’re the strategic payments partner for some of the best known fast-moving brands globally such as Wise, Hut Group, Sony Electronics, Homebase, Henkel, Klarna and many others. Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love. And it's not just what we build that makes us different. It's how.

We empower passionate problem-solvers to collaborate, innovate and do their best work. That’s why we’re number 9 on the Forbes Cloud 100 list and on Glassdoor’s list of Top 10 fintechs to work for. And we’re just getting started. We’re building diverse and inclusive teams around the world — because that’s how we create even better experiences for our merchants and our partners. And we need your help. So, join us to build tomorrow, today.

Job Description

As a 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