Responsibilities
1. Combine credit risk control models and credit processes to develop and optimize anti-fraud, credit scoring, user portrait and other models for Internet credit risk control. 2. Build machine learning models for each business link, and be responsible for model deployment, application, maintenance, monitoring and upgrade iterations 3. Promote feature mining of own data and third-party data, and evaluate and verify data mining results 4. Responsible for optimizing the modeling process, improving model development and deployment efficiency, and reducing model maintenance costs 5. Researching the practice and application of cutting-edge machine learning algorithms in the field 6. Following up on data model assistance and list generation rules in coordination with product and strategy students 7. Configuring the decision-making engine according to the rules to flexibly respond to business adjustment needs.
Qualifications
1. Bachelor degree or above in mathematics or computer science, solid computer algorithm foundation familiar with the basic theory of machine learning 2. Proficient in modeling languages such as Python/Java, proficient in using data statistics tools such as SQL/Hive/SAS/Spark 3. Proficient in common statistical learning methods such as LR, DT, SVM, etc., familiar with machine learning algorithms such as GBDT, LSTM, and good coding habits and engineering optimization capabilities 4. More than 2 years of working experience in data mining or machine learning in an Internet company 5. Experience in building or maintaining Hadoop distributed models, experience in natural language processing, relational networks, reinforcement learning, and deep learning. Experience in data intelligence work in large-scale mutual funds and banks is preferred.
