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Join the forefront of fintech innovation as a Merchant Risk Analyst at Checkout.com
Overview
Salary
No salary declared 😔
Location
Ebene, Mauritius
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Expires
Expires at anytime
Organisation summary: Checkout.com is revolutionizing the fintech industry, offering cutting-edge payment solutions to a diverse clientele including big names like Wise, Sony Electronics, and Klarna. As a key player in digital economy enablement, Checkout.com is not just a company—it's a mission-driven platform where businesses and communities flourish together.
- Collaborate with internal teams to enhance risk models and support strategic risk operations initiatives.
- Develop and optimize rules and models to equip operational teams in managing risk events.
- Take charge of model stability and performance, ensuring their continuous improvement.
- Bachelor's degree in Mathematics, Statistics, or a related field is required.
- At least 1 year of experience in a similar role, preferably in data-intensive settings.
- Strong SQL skills for data extraction and modeling.
- Knowledge of Python or R 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.
The Role We are actively looking for a Merchant Risk Analyst to enhance our in-house risk models and support a number of strategic initiatives across the Risk Operations Department at Checkout.com. In this role, you will collaborate closely with internal stakeholders to gather requirements, develop rules, and design models that empower operational teams to effectively manage and respond to risk events. You will also take ownership of maintaining the stability and performance of these models, ensuring continuous improvement, upgrades and optimizations.
Job Requirements Bachelor’s degree in Mathematics/Statistics or a related field 1+ years experience in a similar role, preferably in a data intensive environment, with large data sets Able to implement algorithms to solve business problems SQL Skills to extract and model data from a variety of data sources Knowledge or experience using Python or R would be an advantage
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’d love to hear how you think you could make a difference here with us.
