Data Modeling Engineer (Financial Technology)-Data

1. Responsible for feature mining and model development of data in the financial risk control and marketing fields, mining and integrating third-party data features, and using algorithms such as logistic regression, XGBoost, and neural networks for data modeling 2. Able to design model development processes, evaluate model effectiveness, and continuously monitor and optimize models 3. Construct suitable feature variables according to business model requirements, mine the value of the data, and clean, analyze and process the data based on the understanding of the data 4. Responsible for the development of relevant tools for risk analysis and model construction.

1. Computer, mathematics, statistics and other related majors, more than 3 years of data work experience 2. Applicants with experience in data analysis, model development, strategy application (risk, marketing, etc.) in banking, consumer finance, and Internet finance industries are preferred 3. Sensitive to data, with strong learning ability, communication ability, and logical analysis ability 4. Experience in data analysis in the financial industry and proficiency in a variety of machine learning algorithms.