Senior Data Scientist

JOB DESCRIPTION

• Responsible for independent development or validation of risk models (including antifraud, underwriting and collection models) as well CRM models and challenging current approaches to machine learning model development
• Create datasets used for development or validation, ensure samples are representative of production population and data are 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 managers and presentation to relevant departments
• Develop in-depth knowledge and expertise in risk data science, continuously improve model performance, research the latest modeling practices

KEY REQUIREMENTS

Must-have:

• Experience in data science, developing statistical models
• Good experience with full machine learning model lifecycle (model development, deployment, monitoring)
• Experience with SQL (Oracle, Spark)
• Experience with Python data science stack (such as numpy, pandas, scikit-learn, xgboost, etc.)
• Strong data analytical skills and logical thinking
• Fluent English 

Nice-to-have:

• Experience in Finance/Banking industries, specifically in Credit Risk is a big advantage

COMPENSATION & BENEFITS

• 13th Salary Fixed and KPI Bonus
• Premium Health Care
• 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