HK - GCB - Data Scientist (Manager)

Full-time
Intermediate (3-6 years)

Posted 

Technical Skills

  • Analytics
  • Apache Hadoop
  • C++
  • Data Management
  • Data Mining
  • Data Modeling
  • Machine Learning
  • Mathematics
  • Python
  • Risk Management
  • SQL
  • Statistics
  • Text Mining
  • User Acceptance Testing

Job Description

HK - GCB - Data Scientist (Manager)

Location: APAC-HKG-Hong Kong-Hong Kong

  • Work with regional and global Internal Fraud BigData analytics team, independently manage and deliver fraud analytics project in Hadoop ecosystem across a big variety of large datasets, understand fraud / risk elements and pattern, and design corresponding analytical solution
  • Lead the research and design of machine learning / deep learning models on banking transactional data, staff behavioral data, and more importantly, on Natural Language Process and Image Processing domain to deliver state-of-the-art surveillance solution to the franchise
  • Be partner with technology function in Citi for data management including new data acquisition, data model design, and data quality investigation in Hadoop ecosystem
  • Lead the UAT testing, MIS reporting and documenting the solution designed to meet the risk and process control standard of Citi
  • Be responsible for knowledge transferring, coaching on advanced analytics and generalize the solution to all the regional internal fraud teams within Citi via liaising with corresponding stakeholders across the globe

Qualifications

  • Prefer Master / PhD in Mathematics / Statistics / Computer Science / Engineering
  • 5+ years’ working/research experience in data mining / machine learning, Experience on Fraud/Anomaly Detection / Risk Management is a plus
  • Proficient in data query language: SQL, Hive. Proficient in using Python and C++ to conduct data mining, modeling
  • Deep knowledge and project experience using basic data mining techniques – principle component analysis, factor analysis, hypothesis testing, clustering etc., and Text Mining techniques – tokenization, lemmatization, parsing, semantic analysis
  • Knowledge and project experience on Natural Language Processing/Image Processing/Audio Processing
  • Knowledge and project experience on supervised machine learning models – Regression, Logistic, Neural Network, SVM, Bayesian Network; Un-supervised machine learning models - Nearest neighbor, K-means. Knowledge on Deep Learning is a plus
  • Proficient in both spoken and written English. Fluency in other languages is a plus
  • Focused and proactive; Open-minded and creative; Matured and teamwork
  • Be ready for and willing to travel or short-term oversea assignment
Employment TypeFull-time
Career LevelIntermediate (3-6 years)
Education LevelMaster
LanguageEnglish
CitibankFinancial Services, Retail and Commercial Banking

50/F, Champion Tower 3 Garden Road Central, Hong Kong

directions_walk12 mins walk from Admiralty Station