Data Analytics Lead, Financial Services – Financial Accounting Advisory Services

Competitive remuneration package
07 May 2021
07 Jun 2021
Approved employers
Approved employer
Contract type
Full time
Experience level
Qualified accountant

You’ll work in high-performing teams that deliver exceptional client service, enabling organisations to grow, innovate, protect and optimise their business performance – playing your part in building a better working world.

We believe that you should own and shape your career. But we’ll provide the support and opportunities to develop the skills, knowledge and experience to succeed. The strength of our global network, combined with local empowerment and a relentless focus on winning in specific markets, means you’ll interact and team with individuals from various geographies and sectors.

About the opportunity

The Financial Services department in Singapore uses data analysis techniques to deliver insights around financial statements and operations in order to help our clients identify unrealised and often unexpected potential and in doing so achieve a new level of insight and performance. Because of this our clients can make better decisions as they can understand what has happened, why it happened and subsequently predict what may happen next.

As a Data Analytics Lead, you will be leading the Data Analytics team within the Financial Services department, dedicated to maintaining meaningful relationships with clients and other stakeholders. You will lead this team in engaging current and prospective clients because you strongly believe that they will benefit your input. You will form a crucial part of our project teams for the successful delivery of services to our clients.

Our structured career framework means you’ll continue to develop, whatever level you’re at. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.

Your key responsibilities

  • Lead the provision of data analytics services to help clients solve business problems, drive value, and gain strategy and insight from information
  • Perform (advanced) data analytics to help solve business challenges and achieve data automation, reconciliation, traceability, lineage and transparency
  • Demonstrate in-depth technical capabilities and professional knowledge
  • Cultivate business development opportunities within the financial services industry
  • Work together with audit teams and business and IT personnel of our clients in the financial services industry
  • Consistently deliver quality client services
  • Demonstrate in-depth technical capabilities and professional knowledge
Skills and attributes for success
  • You are passionate and have interest in data analytics, innovation and automation
  • Eager to learn new skills and technology
  • Enjoy solving complex problems and providing data to support the solution
  • You are confident and great at showcasing your ideas and solutions verbally and in written form.
  • Know when to laugh and when to suit up (or both). You’re fun, but always maintain integrity and good work ethics.
  • Our team is like an orchestra, everybody is required for projects to succeed. You must enjoy working in a team.
  • Borderline perfectionist; making sure that every work you output has your best effort.
  • Excellent verbal/written communication skills
  • Strong organizational, project management and analytical skills

To qualify for the role you must have

  • A Master’s or Bachelor’s degree, preferably in Computer Science, Data Science, Business, Economics, Econometrics, Engineering, Physics, Statistics, (Applied) Mathematics or Actuarial Sciences.
  • Minimum 5 years of professional experience, with a minimum of 2 years of relevant Data Analytics experience
  • Working knowledge of data sourcing / data capture, data preparation and data transformation techniques
  • Solution-oriented with “go-getter” personality
  • The ability to think out of the box

Ideally, you’ll also have

  • Good understanding of, and practical experience with, analytical techniques and tools for predictive analytics (E.g. SAS, Enterprise Miner, Modeler, R, Python)
  • Good understanding of Machine Learning techniques
  • Knowledge of visualization tools like Tableau, Spotfire, Qlikview, etc.
  • Experience working in multicultural teams
  • Willingness to travel on overseas assignment on need-to basis

What we look for

You love data analytics, and often get carried away talking about it. But you are able to explain it in detail to your peers but also in high level to senior management. You seek to fill the gap of knowledge you have whether it is about the latest analytics software, auditing processes, or a baguette recipe. You’re curious about the world and enjoy solving problems in novel ways. You embrace and adapt to the dynamic and rapidly changing industry where no two days are the same. Most importantly, you recognize that you achieve more with a team.

What working at EY offers

We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. We also offer you:

  • Support, coaching and feedback from some of the most engaging colleagues around
  • Opportunities to develop new skills and progress your career
  • The freedom and flexibility to handle your role in a way that’s right for you
About EY

As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. So that whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality.

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

Join us in building a better working world.

For further information, and to apply, please visit our website via the “Apply” button below.

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