Description Chuyên Viên Phân Tích Dữ Liệu
KEY RESPONSIBILITIES
- Responsible for independent development or validation of risk scoring models, including antifraud, credit underwriting or collection models and challenging current approaches to risk management and modeling
- Construct dataset used for development or validation, ensure the sample is representative of production population and data is in good quality
- Creative feature engineering skills
- Develop high-quality machine learning models
- Perform quantitative assessment of model performance based on development, validation and out-of-time samples
- Documentation of model development or validation and communication of results to senior manager and presentation to relevant departments
- Develop in-depth knowledge and expertise in risk data science, continuously improve model performance, research the latest modeling practices
Requirement Chuyên Viên Phân Tích Dữ Liệu
JOB REQUIREMENTS
- BS/MS degree in data science, statistics, computer science, applied mathematics or any quantitative discipline
- Internship, school projects or online certifications related to data science
- Experience with SQL
- Experience with Python data science stack (such as numpy, pandas, scikit-learn, xgboost, etc.)
- Practical experience with machine learning
- Fluent English
Benefits Chuyên Viên Phân Tích Dữ Liệu
COMPENSATIONS & BENEFITS
- 13th Salary Fixed and KPI Bonus
- Premium Health Care for personal
- 24/7 Accidental Insurance
- 100% Social Insurance
- Meal + Phone Allowance
- Yearly Medical Checkup
- 15 Annual Leaves
- Professional and Transparent Working Environment
- Apply Latest Financial Technology in the World
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