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:

• Assist to build both supervised and unsupervised machine learning models
• Assist in performing data exploration, data processing and data analysis
• Help develop analytical solutions and deploy them in client premises
• Learn in-depth knowledge and understanding of digital solutions and products capabilities
• Support the development and delivery of presentations and product demonstrations
• Participate in the documentation of processes and knowledge, including how to guides, technical notes, training materials, etc.

The ideal candidate should possess:

• Currently pursuing a Bachelor's Degree in Computer Science, Information System, IT or equivalent
• Proficiency in Python/R, SQL
• Demonstrate a keen interest in data analytics, machine learning and software engineering
• Comfortable to work with large amounts of data
• Experience with platforms (Google Cloud, Azure, and AWS) will be an advantage
• Demonstrate a keen interest and aptitude for learning new skills sets and taking on new roles/challenge
• Strong 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. 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.