Data Scientist (Risk)
- Recruiter
- None
- Location
- Singapore, SG
- Salary
- Competitive salary
- Posted
- 03 Dec 2020
- Closes
- 06 Dec 2020
- Ref
- 1806917474
- Job role
- Compliance/risk
- Sector
- Digital
Job Responsibilities:
â- Use big-data to build a credit evaluation model;
â- Perform feature engineering work such as feature selection and combination on big-data;
â- Build a large-scale machine learning algorithm platform.
Job requirements:
â- Have 1-3 years relevant work experience in credit risk management;
â- Excellent English proficiency, able to communicate fluently in English for business situations;
â- Have professional knowledge and understanding of the risk control process, risk control model development experience is preferred;
â- Understand commonly used risk control modeling methods, and able to express the measures used clearly and accurately;
â- Good communication skills and good team spirit.
Good to have:
â- Authored published papers in related A conferences (ICML, NIPS, SIGIR, SIGKDD, etc.);
â- Participated in well-known open source projects;
â- Familiar with Apache spark;
â- Passion for entrepreneurship.
Job Responsibilities: â- Use big-data to build a credit evaluation model; â- Perform feature engineering work such as feature selection and combination on big-data; â- Build a large-scale machine lea
Skills: Big Data, Credit Risk, Data Analysis, Data Mining, Hadoop, Java, Machine Learning, Python, Statistics, Control, Communicate, Platform, feature selection
Experience: 0.00-2.00 Years
â- Use big-data to build a credit evaluation model;
â- Perform feature engineering work such as feature selection and combination on big-data;
â- Build a large-scale machine learning algorithm platform.
Job requirements:
â- Have 1-3 years relevant work experience in credit risk management;
â- Excellent English proficiency, able to communicate fluently in English for business situations;
â- Have professional knowledge and understanding of the risk control process, risk control model development experience is preferred;
â- Understand commonly used risk control modeling methods, and able to express the measures used clearly and accurately;
â- Good communication skills and good team spirit.
Good to have:
â- Authored published papers in related A conferences (ICML, NIPS, SIGIR, SIGKDD, etc.);
â- Participated in well-known open source projects;
â- Familiar with Apache spark;
â- Passion for entrepreneurship.
Job Responsibilities: â- Use big-data to build a credit evaluation model; â- Perform feature engineering work such as feature selection and combination on big-data; â- Build a large-scale machine lea
Skills: Big Data, Credit Risk, Data Analysis, Data Mining, Hadoop, Java, Machine Learning, Python, Statistics, Control, Communicate, Platform, feature selection
Experience: 0.00-2.00 Years
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