PwC is one of Singapore leading professional services firms and one of the largest in the world. Our PwC Data and Analytics team are passionate about utilizing data to drive decisions and manage risk. 

We seek to understand our clients’ challenges and use various data driven approaches to assist them in managing the impact of various financial or operational changes to their business.

We pride ourselves on our supportive team culture and diverse backgrounds. We strongly believe in the importance of potential and a desire to learn. As such it is important to us that you fit well with our team, have a strong desire to learn, develop your own skills and support and coach others.

Apply for our 2018 Data & Analytics Graduate Program and you will have the opportunity to be exposed to a wide range of industry and clients, solve interesting problems with data, and work in diverse and collaborative teams that will support your learning and career growth.

Job Reference Code: OS/Data/Analytics/2018

Responsibilities

  • You will work across diverse industries and projects ranging from developing analytics-driven strategies and models to quantitative analyses of internal fraud risks
  • You will analyse and interpret large volumes of data from client data systems and external sources using proprietary and open source data tools, platforms and analytical tool kits
  • You will translate complex findings into simple language and communicate them to internal and external stakeholders, such as your clients and team members 
  • You will deliver excellent client service and work from both the PwC Singapore office and at client sites.

Requirements

  • A final year student/graduate with a Degree in Actuarial Science, Business Analytics, Computer Science, Computer Engineering, Economics, Engineering, Information Systems, Mathematics, Science, Statistics or other related disciplines that have an analytical component and quantitative focus
  • Pro-active, adaptable and a self-driven learner with the ability to apply new tools and techniques such as proprietary analytical software, data models and programming languages
  • Strong analytical and critical thinking skills. Able to analyse and break down complex concepts and technical findings into clear and simple language
  • A natural curiosity to identify, investigate and explain trends and patterns in data
  • It will be an added advantage if you have basic competency in two or more of the following:
    • Analytical software (e.g. R, SAS)
    • Data visualisation tool (e.g. Qlikview, Tableau, PowerBI,)
    • Relational or graph database management tool (e.g. SQL, NoSQL, Neo4J)
    • Programming. (e.g. VBA, C++, Java, Python).

Shortlisted candidates will be invited to submit a video introduction. Following this, selected candidates will be jointly interviewed by our Risk Assurance and Technology Consulting teams. There will also be a practical analytics test for the final assessment round. Successful candidates will be assigned to either Risk Assurance or Technology Consulting depending on suitability.

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