Data Scientist – Risk

You will create and utilize data solutions to stimulate strategic company decisions relevant to Risk. Leverage current and new data to raise the impact and practicality of the risk infrastructure. Collaborate with engineers to develop machine-learning solutions to function at scale. Collaborate with the Risk Management team to hastily react to growing threats. Requirements: ✅At least 2 years’ experience with Risk modeling or fraud. ✅A graduate degree in physical science, applied mathematics, statistics, or related field. ✅History of designing and using in-depth learning/machine learning solutions. ✅The adaptability to interact in an easy-to-understand manner with non-technical and technical markets alike.