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

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

Only shortlisted candidates will be contacted by KPMG Talent Acquisition team, personal data collected will be used for recruitment purposes only. At KPMG in Singapore we are committed to creating a diverse and inclusive workplace. We believe that diversity of thought, background and experience strengthens relationships and delivers meaningful benefits to our people, our clients and communities. As an equal opportunity employer, all qualified applicants will receive consideration for employment regardless of age, race, gender identity or expression, colour, marital status, religion, sexual orientation, disability, or other non-merit factors. We celebrate the different talents that our people bring and support every staff member in their journey to achieve personal and professional growth. One of the ways we do this is through Take Charge: Flexi-work, our flexible working framework which enables agile and innovative teams to help deliver our business goals.

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

At KPMG in Singapore we are committed to creating a diverse and inclusive workplace. We believe that diversity of thought, background and experience strengthens relationships and delivers meaningful benefits to our people, our clients and communities. As an equal opportunity employer, all qualified applicants will receive consideration for employment regardless of age, race, gender identity or expression, colour, marital status, religion, sexual orientation, disability, or other non-merit factors. We celebrate the different talents that our people bring and support every staff member in their journey to achieve personal and professional growth. One of the ways we do this is through Take Charge: Flexi-work, our flexible working framework which enables agile and innovative teams to help deliver our business goals.