Data Scientist

Job DescriptionWork on risk model development for retail and SME finance products such as consumer lending, personal finance, small and medium-sized enterprises loan and so onBuild models and tools for credit and fraud risk identification in various aspects. For example, credit risk modelling, income estimation, customer information verification, anti cash-out, non-starter detection, account take over and so onMaintain business operations for credit and fraud risk products in various aspects. For example, conduct product backtesting, pipeline stability check, and build relevant monitor dashboards and so onCollaborate closely with the risk policy and business team. Translate business need and insight into machine learning models and product solutions.Research model methodology and data mining techniques to improve model performanceRequirementsBachelor's degree in Machine Learning, Business Analytics, Information Technology, Finance, Economics, Statistics, Mathematics, or a related field. Master's and PhD degree are preferred.1-5 years relevant credit or anti-fraud model development experienceExperienced with data mining and feature engineering from massive raw data especially the alternative credit dataSolid understanding and hands on experience of machine learning models such as boosting trees, regression models and good sense in feature engineeringGood coding skill using SQL, Spark and PythonEager to learn new things and has passion in workTake responsibility, team oriented, result oriented, customer oriented and self drivenExperience in network analysis, search and recommendation system and other machine learning field is a plus