Job Description

• Working within the Group Analytics CoE, you will be part of our Malaysia Analytics function - leveraging huge volumes of Structured and Unstructured data to solve real business problems across OCBC Malaysia to increase revenues and deliver a great customer experience, improved productivity and reduce risk.
• You will be working with business leaders to understand their problem statements & apply Data Science and analytics techniques to develop Productionised solutions to capture the opportunity and generate business value.
• We believe that variety is good. You\xe2\x80\x99ll get the chance to work on a wide range of use cases across the business covering areas such as Personalisation, Sales & Marketing, Conversational AI, Anti-Money Laundering and Fraud Detection.
• Work alongside the OCBC Malaysia Bank across Consumer, Corporate and support divisions to identify opportunities to apply data and advanced analytics to support critical business decisions and drive revenue generation.
• Deliver business value from data \xe2\x80\x93 through use of on-the-ground analytics resources and strong partnership with the centralised Group Analytics CoE team.
• Work with key stakeholders to understand their business objectives. Proactive recommendation on how you think data & analytics could help them to achieve their goals.
• Campaign management \xe2\x80\x93 support the execution of the marketing campaigns via leads extraction, fulfilment and track the effectiveness of the campaign.
• Use of advanced analytical modelling techniques to predict and optimize customer and portfolio outcomes.

• Bachelor\xe2\x80\x99s degree in analytics, statistics, computer science, mathematics, or related disciplines.
• Minimum 7 years of experience in an analytics role (experience in financial institution preferred)
• Strong experience in Campaign Management function \xe2\x80\x93 with hands-on experience of a leading tool from the likes of Unica, Adobe, SAS. Awareness of Direct Marketing concepts such as A:B Testing, Event Based Marketing.
• Experience in data analytics programming tools i.e. SQL, SAS, Python.
• Experience in developing propensity model or machine learning model.
• Knowledge of modern infrastructure/ tools like Hadoop, Talend, Spark is a plus.
• Ability to work independently, and develop strategic recommendations based on data insights.

OCBC Bank