Job Description
Develop new novel and state of the art AI/machine learning models to support risk strategies. Recommend data-driven, risk-based business decisions to positively impact KPIs across Trustly's payment portfolio. Conduct analysis to measure model performance, compare performance across multiple models, and influence model strategy and selection decisions. Collaborate with ML Engineers to deploy AI/ML models and strategies in Trustly's decision engine. Explore raw source data, feature research and engineering, supporting decision capabilities. Support development and maintenance of risk modeling infrastructure, working closely with ML Engineers and ML Ops. Develop data and business-driven risk prevention rules and strategies. Monitor risk and decisions trends and performances, provide ongoing optimization adjustments as needed.
About Trustly
Trustly is on a mission to deliver a better way to pay and get paid, revolutionizing the payments industry by making Pay by Bank the new standard at checkout.