Head Data Scientist Top financial Institution
Support the Chief Data Officer to create roadmap for implementation of data and analytics strategy.
Build data models. Review and validate models effectiveness and performances.
Interpret and present modeling and analytical results to management with insights.
Evaluate new and existing big data tools to derive and develop new data attributes/features for modeling Lead the analytics team to address statistical, machine learning, and data understanding problems
Apply technical and analytical expertise to explore and examine data from different sources with the goal of discovering patterns and previously hidden insights, which enable the identification of new products and market opportunities to drive innovation.
Coordinates with process owners to understand their information needs and identify ways to visualize and present modeling and analytical results in a user-friendly manner.
Develop business requirements and appropriate statistical analysis/prototypes to meet critical business needs.
Work closely with business sponsors to identify opportunities, analyze, and interpret trends or patterns. Collaborate with internal stakeholders and external vendors on project planning and execution Requirements:
University graduate in Computer Science, Applied Statistics or in relevant disciplines; Minimum 10 years working experience in Data Science of which 5 years in managerial level from recognized establishments in financial services and/or Fintech related industries with the following attributes:
Solid knowledge of statistical techniques, data modeling, data science, machine learning, analytics
Experience of having solved complex analytical and technical problems
Experience in Consumer Analytics and Business Intelligence
Strong knowledge on data management and analyst
Development experience using MongoDB, MySQL, Java, Python
Experience with relational database such as SQL server, Oracle and Teradata
Experience with machine learning, supervised, unsupervised and reinforcement, classification, regression, clustering models
Experience with data visualization libraries and frameworks
Result oriented and able to deliver under pressure
Excellent communication and negotiation skills
Proven people management experience Good command of both spoken and written English and Chinese
Interested candidates kindly forward your Cvs to email@example.com