Job Descriptions :
Our team aims to provide the data-driven insights to financial service business and product teams, helping them to resolve the business problems achieve business success.
Gather business requirements from different business / product functions and translate them into big data analytical problem.
Conduct ad-hoc analysis or suitable visualisations on business issues and interpret the analytical insight to the stakeholders.
Implement the analytical insight into the business process by coordinating different functions and / or stakeholders
Design, develop and implement machine learning / causal inference models and present the explainable outcomes to support the organisation’s operations and execution of key business strategies.
Design, automate and maintain mission-critical dashboards for our business units using SQL and / or Pyspark
Minimum qualifications :
Background in Computer Science, Mathematics, Statistics, Applied Science or other data-analytical fields
At least 2 years of experience in analytical roles and familiar with Python and SQL
Experience in solving business problems by analytical method (e.g modelling, visualization, graph analysis...)
Preferred qualifications :
Experience in implementing analytical insight and / or predictive model into the business process is a plus
Experience in bank or financial-related industry is a plus
Strong passion for data analysis by taking related courses, participating DA / DS competition or developing projects in Github continuously is a plus
Familiar with Hadoop ecosystem (Hadoop, Spark, Hive) is a plus