Our client is a well established financial group. They are looking for high caliber candidate to join their team.  

Key Responsibilities: 

• Formulate long term data analysis service strategy to deliver real business value
• Lead, manage and coach the team of data specialists to serve the data analysis needs for business units (i.e. process for articulating benefits, cost and prioritization) 
• Investigate and lead research and development of infrastructure for data extraction, preparation, and loading of data from a variety of sources using technology such as big data, artificial intelligence, machine learning / deep learning
• Analyze and evaluate the existing data analysis model in term of the business performance
• Propose, build, and execute various data science models to leverage existing data to improve business by utilizing unstructured data
• Evaluate data analysis / visualisation tools that will offer deeper insight into the data pipeline, allowing for critical discoveries to meet business requirements
• Support and train the colleague by using basic data analysis skill apply to different business units   

Requirements: 

• MSc in Computer Science, Operational Research, Statistics or a related degree
• Minimum 8 years’ work experience in data analysis in which at least 2 years in developing practical ML/DL solutions and in a role of data science team lead
• Solid experience in building machine learning models and deep learning e.g. time-series analysis
• Experience in big data technologies (e.g. Hadoop, Spark, Kafka), database technologies (e.g. SQL, NoSQL), programming frameworks (e.g. C++, Java, R, Python), data visualization tools (e.g. Tableau, Power BI), and stream-processing systems (e.g. Storm and Spark-Streaming)
• Strong organizational, problem solving aptitude
• Analytical mind and strong business acumen, as well as an ability to communicate findings and mine vast amounts of data for useful insights
• Strong communication, presentation and stakeholder management

Interest parties, please send us full CV with current & expected salary and availability by clicking "Apply Now" below. 
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