To design and implement data-driven analytical framework that enhance understanding of investors trading behaviour and product adoption patterns across the Exchange's ecosystem. The role focuses on developing customer segmentation, behavioural insights, and predictive models to identify opportunities for cross-selling investment products and strengthening market engagement with retail investors, institutional investors and brokers.
Key Responsibilities:
- Analyse high volume of transactional data to identify trading trends, product adoption and engagement patterns across asset classes.
- Segment investors by activity level and market contribution to support targeted commercial and market development strategies.
- Develop dashboards and analytics frameworks to monitor trading behavior, market share shifts, and client lifecycle value.
- Build statistical / machine learning models to forecast trading activity and cross-selling opportunities across Exchange's products (including equities, derivatives, gold, bonds). Expert in time series modelling and unsupervised learning will be preferable.
- Identify leading indicators of product adoption and participation growth using behavioral, transaction and macro-level data.
- Setup model / data drift alert for model performance to ensure reliability and predictive accuracy.
- Translate analytical insights into actionable recommendations to guide marketing strategy and stakeholder engagement plans.
- Support marketing teams in identifying underpenetrated segments and recommending tailored outreach strategies or tailored marketing initiatives.
- Provide data-driven inputs for management decision-making, including business reviews, strategy planning and marketing initiatives.
- Partner with other stakeholders to align analytics outcomes with the divisional strategic goals
- Work closely with external data partners and research vendors to enrich the understanding of market behavior and investment flows.
- Present analytical findings to senior leadership and contribute to cross-divisional initiatives to enhance market vibrancy.
- Collaborate with market data, IT and market operation teams to consolidate internal datasets.
- Ensure accuracy, integrity and compliance of data in alignment with governance standards.
- Contribute to the design of a centralized client analytics platform that support ongoing commercial monitoring and reporting.
Requirements:
- Bachelor's degree in Data Science, Actuarial Science, Applied Statistics, Finance, Economics, or any other related fields.
- Minimum 7 years in a managerial position and experience in predictive and forecast modelling
- Proficiency in data analysis and modelling tools (Python, R, SQL) and visualisation platforms (Power BI, Tableau, Quicksight)
About Bursa Malaysia
Bursa Malaysia is an Exchange holding company incorporated in 1976 and listed in 2005. It has grown to be one of the largest bourses in ASEAN. Today, Bursa Malaysia operates and regulates a multi-asset exchange, offering a comprehensive range of investment, capital raising, and exchange-related facilities. Bursa Malaysia is committed to its mission of Creating Opportunities, Growing Value for the Malaysian capital market, economy, and society.
