Consulting - Financial Services Advisory (Data Analyst), Graduate Associate 2025

apartmentKPMG ADVISORY SERVICES PTE. LTD. placeBukit Merah descriptionPermanent calendar_month 

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
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