The KPMG financial services advisory team assists banks and capital market sectors in managing their day-to-day business challenges and developments. We support our financial services clients on multiple diverse consulting projects that include:

• Business growth (e.g. market entry, customer insights, merger and acquisitions support)
• Operational process improvements
• Organisation-wide functional (re)design
• Change management and project management
• Digital and technology enablement
• Programme management support
• Data driven transformation

As KPMG embarks on a rapid growth strategy to become the preferred data driven strategy execution firm in South East Asia, we established the propositions in data driven transformation, and cloud & data center-of-excellence for all the different line of businesses to serve our clients. The ideal candidate should have a keen interest in digital and data driven transformation while working for cloud providers, consulting firm or financial services organisations.

This role involves:

• Work across all aspects of data from engineering to building sophisticated visualisations, machine learning models and experiments
• Translate advanced business analytics problems into technical approaches that yield actionable recommendations
• Perform exploratory data analysis, generate, and test working hypotheses to uncover interesting trends and observations
• Analyze and model structured data and implement algorithms to support analysis using advanced statistical and mathematical methods from statistics, machine learning, data mining, econometric and operations research
• Leverage tools for data analytics (e.g. SQL, Python, R), visualization (e.g. Tableau, QlikView, PowerBI) and mapping (e.g. GIS) to conduct analysis, produce charts/graphs and reports/slide decks in support of client engagements

The ideal candidate should possess:

• Bachelor's Degree in Computer Science, Information System, IT or equivalent, Mathematics, Statistics
• Fluency in SQL or other data programming languages
• Demonstrate an understanding or experience in statistical and quantitative analysis and comfortable with working with large data-sets
• Experience using data visualisation tools (e.g. Tableau, QlikView, PowerBI) will be an advantage
• Experience with big data ecosystem (Hadoop, Spark, Hive) will be an advantage
• Demonstrate a keen interest and aptitude for learning new skills sets and taking on new roles/challenge
• Strong client and stakeholder management abilities coupled with excellent communication, written, analytical, organisational and problem-solving skills