Assurance - Data Analytics - Financial Services - Associate/Senior

at  EY

The Assurance Business specialise in delivering high quality and efficient audit to some of the world’s best-known brands, our clients count on reliable financial statements, regulatory reporting and regulatory compliance based on information from all aspects of their business. More than ever, business is about interpreting and reacting to complex data. You’ll use your professional skills and experience to understand the enterprise-wide view of business risk and how this risk can be effectively managed. You will be handling complex data from EY’s assurance clients, working alongside a diverse range of engagement teams to supporting our extensive digital initiatives.
We currently are seeking qualified candidates for an excellent career and leadership opportunity in our Assurance Financial Service Office (FSO) group. Our talented and dedicated FSO professionals deliver audit solutions to many types of entities including funds, banks and insurance companies.

THE OPPORTUNITY

EY are looking for a talented and experienced analyst to join our Assurance Digital team to continue to build our data extraction and analytics capabilities for our digital audit initiatives. You will be using your ETL capabilities and project management experience to support obtaining external financial data for use by audit teams in a dynamic client facing data analytics team.
In return for helping us build a better working world you can expect excellent career opportunities within a dynamic and collaborative environment.
The role of Senior – Data Analytic and Enablement, based in Kuala Lumpur, will be responsible for data extraction in the market with some exposure to internal clients supporting data extraction from client financial systems.

SKILLS AND ATTRIBUTES FOR SUCCESS

• Strong analytical and problem-solving skills
• Strong drive to excel professionally, and to guide and motivate others
• Advanced written and verbal communication skills
• Dedicated, innovative, resourceful, analytical and able to work under pressure
• Foster an efficient, innovative and team-oriented work environment

WHAT WE LOOK FOR

Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing working environment. An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization. If you’re ready to take on a wide range of responsibilities and are committed to seeking out new ways to make a difference, this role is for you.

YOUR KEY RESPONSIBILITIES

You will deliver results by using data analytics to deal with large, disparate volumes of data to assist your client group gain critical insights. You will have a chance work with large/listed clients and the latest data systems to enjoy a truly rewarding and successful career at EY. Primarily, your contributions include, but not limited to the following:

• Extract and transform a variety of client financial data for use in our state-of-the-art audit tools dedicated for audit data analytics in consultation with the audit teams
• Support the internal promotion of the extraction support available
• Using analytical and visualisation software to access, transform, integrate, analyse and visualise client data to help solve real problems and provide real business insights through identification of anomalies and unusual patterns and trends in data
• Coordinate and assist to deliver on a portfolio of data analytics engagements
• Work on audit innovation projects and use programming tools/ robotics software to automate manual audit tasks for efficiency and cost savings
• Helping audit teams and clients to identify and extract required data from complex IT systems

TO QUALIFY FOR THE ROLE YOU MUST HAVE

• A bachelor’s degree in Mathematics, Accounting & Science, Statistics, Econometrics, Data Science, Data Analytics, Engineering or a related field
• Minimum of three years of work experience in data analysis environment
• Basic understanding of accounting/ auditing concepts with some working experience in financial audit/ IT audit is a plus