Asia Wealth Management (AWM) Data Analytics The Business Analytics team is responsible for hands-on execution and delivery of business data insight priorities and strategy. We are looking for a motivated and self-driven individual with an analytical mindset who can bring relevant fresh ideas and concepts to the table; put that creativity into practice; and ultimately be able to articulate analytical findings to a wider audience and drive the strategy for business insights using a variety of relevant analytics and modelling techniques. Being a strong collaborative team player is a must and having a solid understanding of the wider private wealth management industry is very strongly desired. This is a hands-on multi-faceted data pioneering role which combines leadership, technical competence and business fluency across the wealth management domain. Main Responsibilities Create and execute on AWM Business Analytics strategy. Employ Big Data, ML, AI, and other analytical concepts (where available) to flesh out deep business insights, across fraud analytics for both early risk indication and AML detection themes as well as marketing and revenue generation initiatives. Engage and understand business and stakeholder needs and proactively propose data driven solutions. Innovate and build quick prototypes to display value as proof of concepts and then scale to production for business to execute for decision making. Develop advanced and scalable data visualization / BI reporting framework as the business grows its footprint and data becomes more central to its evolution. Ensure that all Data analytics and mining activities use trusted data that is fit for purpose and is contained to relevant parties only i.e. a strong ongoing conviction in Data Governance Partner with data management team as a trusted partner, aiding in the strategic (cloud-based) data repository development. Requirements 8-10 years’+ experience in the Data Science realm Bachelor’s/master’s in computer science, finance, business analytics, economics preferred. Proven experience with hands on data analytics projects in the wealth management industry is strongly desired. Leadership experience (development of an end-to-end analytics capability and driving a team is strongly desired). Entrepreneurial/creative self-starter mindset - Ability to multi-task and work effectively in fast-paced environment. Passion for data inquisition / investment products / trading. Able to conceive and independently build insights to drive business strategies. Awareness of Data engineering and Data management frameworks are preferred, including knowledge of cloud-based technologies Snowflake is an advantage. Experience with data visualization packages – especially Power BI. Strong communicator, with ability to tell a story with data, clearly articulating analytical findings through presentations to propose evidenced-based conclusions and actionable insights.
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