Senior Manager, Client Analytics and Strategy (Data Analyst / Data Scientist)

Bursa Malaysia Berhad; Kuala Lumpur; On-site; MYR 150,000 - 200,000; Full time

Job summary

A leading financial services provider in Kuala Lumpur is seeking an Analyst/Senior Analyst for Business Valuation to analyze trading trends and develop predictive models. You will translate analytical insights into strategic actions and collaborate with various stakeholders. The ideal candidate will possess a Bachelor's degree in a relevant field, have a minimum of 7 years in a managerial role, and be proficient in Python, R, and SQL. This role offers a unique opportunity to contribute to market dynamics and decision-making processes.

Qualifications

• Minimum 7 years in a managerial position and experience in predictive and forecast modelling.
• Strong understanding of market structure, trading systems, and financial products.
• Demonstrated ability to translate analytical outcomes into strategic business actions.

Responsibilities

• Analyse high volume of transactional data to identify trading trends.
• Develop dashboards to monitor trading behavior and client lifecycle value.
• Build statistical/machine learning models to forecast trading activities.
• Translate analytical insights into actionable recommendations.
• Collaborate with stakeholders to align outcomes with strategic goals.

Skills

Data analysis

Python

R

SQL

Power BI

Tableau

Strategic insight generation

Market analysis

Education

Bachelor’s degree in Data Science, Actuarial Science, Applied Statistics, Finance, Economics

Tools

Power BI

Tableau

SQL

Job description

Analyst / Senior Analyst (Business Valuation)

Market participant and client analysis

• 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.

Predictive and forecast modelling

• 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 behavioural, transaction and macro‑level data.
• Setup model / data drift alert for model performance to ensure reliability and predictive accuracy.

Commercial and strategic insight generation

• Translate analytical insights into actionable recommendations to guide marketing strategy and stakeholder engagement plans.
• Support marketing teams in identifying under‑penetrated 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.

Stakeholder collaboration

• 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.

Data integration and governance

• 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).
• Strong understanding of market structure, trading systems, and financial products (equities, ETFs, derivatives, bonds).
• Demonstrated ability to translate analytical outcomes into strategic business actions.

Unlock job insights

Your application will include the following questions:

• Which of the following statements best describes your right to work in Malaysia?
• What’s your expected monthly basic salary?
• Which of the following types of qualifications do you have?
• How many years’ experience do you have using SQL queries?
• How many years’ experience do you have with forecasting for businesses?
• Are you willing to undergo a pre‑employment background check?