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 a global team of innovators, collaborators, and doers building a smarter, faster, and more secure financial future by revolutionizing the world of payments.