Direct experience in fraud, credit risk, payments risk, or another high-stakes decisioning environment, including rare-event modeling, label delay, reject inference, and understanding the difference between strong model metrics and strong business decisions. Your work will sit at the intersection of machine learning, payments risk, product, and engineering, with direct impact on approval rates, fraud and loss performance, customer experience, and Trustly's broader payments network.