Roles & Responsibilities
1. Based on Massive data, build a risk control model system covering the entire life cycle of financial credit scenarios, deeply participate in the planning and development of risk control models, and provide reliable financial technology services for various financial businesses such as mortgage exemption and loans
2. Through the discovery and mining of abnormal users, abnormal merchants, abnormal gangs, abnormal equipment, etc., the anti-fraud model is continuously optimized to achieve effective prevention and confrontation of financial black products
3. Based on deep learning, transfer learning and complex networks and other technologies to explore cutting-edge applications in the financial field.
Qualifications
1. Master degree or above in mathematics, statistics, computer and other related majors
2. Engaged in model development work in retail credit, transaction payment and other related fields, with more than 8 years experience Years of experience in the industry. He has been independently and fully responsible for the development of higher-level user-level models. He has a global vision for credit risk control model planning and has a good understanding of model layout, goal setting, and key technology implementation at different business stages. Understand
3. Familiar with the bank's core credit system, personal loan system, risk control and anti-fraud system, etc. is preferred
4. Familiar with at least SQL, Scala, Python, Java, C/C++, etc. Two programming languages, those with experience in developing big data platforms based on Hadoop/Spark will be given priority be familiar with machine learning methods commonly used in risk control scenarios and their application in actual model development scenarios
5. Have strong learning ability Ability, with an empty cup mentality, strong team spirit and sense of responsibility.