Consulting - Financial Services Advisory (Data Analyst) - Graduate Associate 2026

Function(s): Advisory

Work Type: Permanent

Start Date for Applications: 12 Feb 2026

Closing Date for Applications:

KPMG in Singapore is part of a global organization of independent professional services firms providing Audit, Tax and Advisory services. We operate in 138 countries and territories with more than 276,000 partners and employees working in member firms around the world. Each KPMG firm is a legally distinct and separate entity and describes itself as such. KPMG International Limited is a private English company limited by guarantee. KPMG International Limited and its related entities do not provide services to clients.

Job Description

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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Only shortlisted candidates will be contacted by KPMG Talent Acquisition team, personal data collected will be used for recruitment purposes only.