About Kueski
At Kueski, we're dedicated to improving the financial lives of people in Mexico. Since 2012, we've been the leading buy now, pay later (BNPL) and online consumer credit platform in Latin America, known for our innovative financial services. Our flagship product, Kueski Pay, provides seamless payment solutions for both online and in-store transactions, establishing itself as the preferred option for a quarter of Mexico's top e-commerce merchants. Notably, we were the first to introduce BNPL on Amazon Mexico.
We're a tech company with a culture geared toward innovation, collaboration, and impact, fostering a strong, diverse, and inclusive company culture. In 2023, Kueski was recognized as the top BNPL platform by Fintech Breakthrough and earned the title of one of Mexico's most ethical companies from AMITAI. Additionally, we ranked as one of the Best Companies for Female Talent by EFY.
Purpose
Over half of the Mexican population lacks access to financial products due to traditional banking limitations. Kueski aims to provide financial opportunities through technological innovation.
Our data science team at Kueski is crucial in achieving this mission, developing machine learning technology for real-time risk assessments, resource optimization, and personalized customer offers. Collaboration is key, with data scientists working closely with machine learning engineers, software engineers, risk and business analysts, and product managers.
Data scientists build models, analyze data, and understand business needs using advanced open-source libraries and cloud technology, contributing to reliable production machine learning pipelines.
At Kueski we seek an analytical, quantitatively skilled individual passionate about applying machine learning to product development.