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Advisory – Technology Advisory, Financial Services – Data Scientist
Ernst & Young
May 9, 2020
We are the only professional services organization who has a separate service line dedicated exclusively to the financial services marketplace. Join Financial Services (FSO) and you will work with multi-disciplinary teams from around the world to provide a global perspective. Aligned to key industry groups including banking and capital markets, insurance, asset management and private equity, we provide highly integrated advisory, assurance, tax, and transaction services.
The EY Financial Services technology consulting team is continuing to grow and develop appropriate technology propositions aligned to market needs and demand, in particular in the space of Data and Analytics. We work collaboratively with the financial services clients and other EY teams to enhance their ability to use and interpret modern technologies and data, and develop their own enhanced capabilities to support better decision making, along with regulatory compliance, within their business.
Our consultants need the vision to articulate the big picture and the precision to see the smallest of details, all whilst focusing on the financial services domain. Technology and information are the assets which enable this, and our data and analytics practice provides innovative approaches to unlocking this value, solving many of our clients' biggest challenges.
If you think you can meet the challenges of a focused consulting organization, understand how to grow and lead in a growing practice and work in the most complex of sectors our team is looking forward to hearing from you.
Your key responsibilities
As a Data Scientist you will work within the FS Technology Advisory team to deliver advanced analytics solutions utilising leading big data platforms and cloud technologies. Our current team is working on some of the latest technologies in the region using advanced analytics solutions such as AWS, Azure, Hortonworks, Cloudera etc.
This role will find you:
Working with internal stakeholders and clients to understand services/business needs, build and apply data analysis algorithms (data mining, machine learning, natural language processing etc.) to provide actionable insights
Designing and developing advanced statistical models to facilitate effective predictive models, while explaining the model strengths and weaknesses to both technical and business stakeholders
To qualify for the role, you must have
At least 3 years' experience in a data analytics / data science role
Experience in R / Python / Java / C++
Good SQL skills
Strong written and verbal communication, presentation, client service and technical writing skills in English for both technical and business audiences
Ideally, you'll also have
Good communication and presentation skills (written and verbal) in Chinese (Cantonese or Mandarin)
Experience of working in, or consulting into, the financial services sector
Strong working knowledge on the mechanics of the underlying Machine Learning algorithms
Experience working with cloud platforms, e.g., Azure, AWS, Alibaba Cloud etc.
Strong written and verbal communication in Mandarin and Cantonese
What working at EY offers
Support, training, coaching and feedback from some of the most engaging colleagues around
A variety of roles and client experiences, you will have the opportunity to work on multiple client projects solving complex problems across financial services
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
As a global leader in assurance, tax, transaction and advisory services, we're using the finance products, experience/knowledge and systems we've developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. 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.