This paper demonstrates the successful application of Off-Policy Evaluation (OPE) to accelerate recommender system development and optimization at Adyen, a global leader in financial payment processing. Facing the limitations of traditional A/B testing, which proved slow, costly, and often inconclusive, we integrated OPE to enable rapid evaluation of new recommender system variants using historical data. Our analysis, conducted on a billion-scale dataset of transactions, reveals a strong correlation between OPE estimates and online A/B test results, projecting an incremental 9--54 million transactions over a six-month period. We explore the practical challenges and trade-offs associated with deploying OPE in a high-volume production environment, including leveraging exploration traffic for data collection, mitigating variance in importance sampling, and ensuring scalability through the use of Apache Spark. By benchmarking various OPE estimators, we provide guidance on their effectiveness and integration into the decision-making systems for large-scale industrial payment systems.

Adyen is the payments platform of choice for the world's leading companies, delivering frictionless payments across online, mobile, and in-store channels. Our team members are motivated individuals that help each other do remarkable things every day. We face unique technical challenges at scale and we solve those as a team. And together, we deliver innovative and ethical solutions that transform the way the world pays. We took an unobvious approach to starting a payments company, building a platform from scratch.

Adyen is the payments platform of choice for the world's leading companies, delivering frictionless payments across online, mobile, and in-store channels. Our team members are motivated individuals that help each other do remarkable things every day. We face unique technical challenges at scale and we solve those as a team. And together, we deliver innovative and ethical solutions that transform the way the world pays. We took an unobvious approach to starting a payments company, building a platform from scratch.

We took an unobvious approach to starting a payments company, building a platform from scratch. Speed is the foundation of our company. We are honest, direct, and try to have some fun too. To maintain our momentum, we need people to join us in finding new ways of solving our unique challenges - people like you. Adyen is looking for a Data Analyst to join our US Data team in San Francisco.

Adyen is the payments platform of choice for the world's leading companies, delivering frictionless payments across online, mobile, and in-store channels. Our team members are motivated individuals that help each other do remarkable things every day. We face unique technical challenges at scale and we solve those as a team. And together, we deliver innovative and ethical solutions that transform the way the world pays. We took an unobvious approach to starting a payments company, building a platform from scratch.

Adyen is the payments platform of choice for the world's leading companies, delivering frictionless payments across online, mobile, and in-store channels. Our team members are motivated individuals that help each other do remarkable things every day. We face unique technical challenges at scale and we solve those as a team. And together, we deliver innovative and ethical solutions that transform the way the world pays. We took an unobvious approach to starting a payments company, building a platform from scratch.

Global payments unicorn Adyen is looking into how artificial intelligence can boost its payments offering, highlighting how the tech can boost the industry as a whole. The Dutch FinTech company went public last year after having raised a massive $250m Series B round in 2014, the biggest deal raised by a FinTech company in the Netherlands between 2014 and the third quarter of 2019. But more is to come and it seems as if AI will play a big role in Adyen's future. "The benefits of AI are real," Pieter van der Does, CEP of Adyen, told VentureBeat at the Slush technology conference in Helsinki. However, initially the tech leader was cautious about using AI.

Ethan Bloch was in junior high school in Baltimore during the dot-com boom. For his bar mitzvah -- the ceremony that welcomes 13-year-old Jewish boys into adulthood -- Bloch received $7,000 in cash. It was 1998 and, like so many amateur traders at the time, he plunged his wealth into the stock market, mostly software and telecommunication names like Lucent and Nortel. He quickly tripled his money. By age 15, it was all gone.