Risk Modelling and Data Scientist

Job Responsibilities

Build predictive models by using supervised and unsupervised methods on fraud behavior based on historical risk and expert experience.

Work closely with risk strategy analysts solving real business problems using appropriate algorithms.

Balance customer experience and security. Design and implement optimal risk-benefit decision by optimization theorem and methods.

Job Requirements

PhD or Master degree program in Computer Science, Statistics or a related field.

Solid understanding of machine learning algorithm / tools like SQL / Python.

Adept in analytical thinking and ability to solve problems. Self-motivated, self-learning with good creativity and communication skills.

Experience as a data scientist, and if have project or research experience at a lab are preferred.

Proficiency in spoken and written English and proficiency in Chinese will be an added advantage.