Tencent Security Financial Risk Control Modeling Expert

Roles & Responsibilities

1. Based on Able to mine and integrate risk profile features from massive data, use logistic regression, decision tree, random forest, Xgboost, neural network and other algorithms to conduct data modeling and complete relevant delivery document writing
2. Be able to design model development process and evaluate The effectiveness of the model, and continuous monitoring and optimization of the model
3. In-depth understanding of customer needs, explaining the details of the solution to customers, analyzing modeling ideas, methods, steps, etc.
4. Communication and collaboration within the team , to ensure project execution and delivery
5. Note: Positions can be based in Beijing, Shanghai, and Shenzhen.

Qualifications

1. Majors in statistics, applied mathematics, computer science, and finance are preferred
2. Proficient in data analysis, model development, and risk management in banking, consumer finance, and Internet finance industries. Candidates with control strategy application experience will be given priority
3. Candidates who can skillfully use SQL, R, Python, Tableau and other analysis and visualization tools will be given priority
4. Can use logistic regression, decision trees, random forests, xgboost, Machine learning algorithms such as neural networks for data construction
5. Applicants who understand commonly used data algorithms are preferred
6. Good communication and coordination skills, teamwork skills, and stress resistance.