1 年前發布

Data Science Trainee

China CITIC Bank International Limited

職位描述

Key Responsibilities:

  • Develop and build customer labelling models and data pipeline for digital customer engagement
  • Develop/test AI and advanced analytics models for digital customer engagement, targeting and personalization and support project execution
  • Develop/test data feature engineering process on big data platform like spark platform/Kafka
  • Design and develop quantitative models for data management improvement

Requirements:

  • Postgraduate or 3rd year Undergraduate student in Quantitative disciplines (Computer Sciences/ Engineering/ Statistics/ Math / Economics/Business Analysis/Data Science/Math)
  • Knowledge/strong interest and sense in digital and latest technologies
  • Knowledge in big data technology like Spark and Kafka is preferred
  • Programming experience with Python, R and SAS is preferred
  • Good analytical and problem solving skills
  • Passion and curiosity for data analysis and technology
  • Self-motivated and proactive mindset
  • Quick learner and adopt new changes
  • Good command of written and spoken English and Chinese (Cantonese and Mandarin)

For more details about career opportunities with the Bank, please visit our website http://www.cncbinternational.com/careers/en/index.jsp. Please apply with full resume stating current and expected salaries.

Personal data collected will be used for recruitment related purposes only. Applicants not invited for interview within 6 weeks may consider their applications unsuccessful. However, applicants may be considered for other suitable positions within the Group for a period of not more than 2 years. Personal data will be destroyed at any time after 3 months.

China CITIC Bank International is committed to being an equal opportunities employer and intends to provide a work environment free of unlawful discrimination or harassment. All employment decisions will be made in a non-discriminatory manner.

其他細節

職位空缺來源
eFinancialCareers
參考編號
20817467
發布日期
2024年04月11日
關鍵詞
Information Services, n/a, Quantitative Analytics, Other, Retail Banking
為方便用戶,人才服務辦公室網站提供由其他網站整合的職位空缺資訊及相關連結。本網站對這些網站提供的内容不負有任何責任。