Responsibilities:

• 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.

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

To apply online,  please click the Apply button below. For a confidential discussion about this role please contact us on +852 2391 2813.

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