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Join Checkout.com, a leading fintech, as a Risk Data Analyst and propel your career in the dynamic digital economy
Overview
Salary
No salary declared 😔
Location
Ebene, Mauritius
Nomad Friendly?
Expires
Expires at anytime
Organisation summary - Checkout.com is at the forefront of the fintech industry, offering a cloud-based payments platform that's not only flexible but also built for performance and scalability. Our mission is to help businesses and their communities flourish in the digital economy. By joining us, you'll become a part of an ambitious team that serves renowned brands like Wise, Sony Electronics, and Klarna, among many others.
- Develop and manage data pipelines to identify risks.
- Maintain and optimize the risk and fraud reporting system.
- Create and implement controls for accurate risk reporting.
- Experience with large data sets in a data-driven environment.
- Proficiency in SQL for data extraction and modeling.
- Ability to implement algorithms for business problem-solving.
- Programming skills in Python or JavaScript are advantageous.
- Understanding of risk, fraud, and dispute domain is a plus.
Company Description Checkout.com is one of the most exciting fintechs in the world. 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.
The Role As a Risk Data Analyst, you will be responsible for developing and managing efficient data pipelines for identifying potential risks. You will maintain and optimise the current Risk and Fraud reporting system and create and implement controls to ensure the accuracy and completeness of risk reporting.
Job Requirements You should have experience working with large data sets in a data-driven environment. Proficiency in SQL to extract and model data from various sources is required. Ability to implement algorithms to solve business problems is also necessary. Knowledge or experience in programming languages such as Python or Javascript is beneficial. Knowledge of the risk, fraud and dispute domain is beneficial.
Benefits 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.
Application Details 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 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.
