Advisory - Risk, Financial Services - Actuarial Services (Insurance Analytics) - Senior Associate

Intermediate (3-6 years)


Technical Skills

  • Analytics
  • Claims
  • Data Mining
  • Machine Learning
  • Marketing
  • Mathematics
  • Mergers & Acquisitions
  • Project Management
  • Python
  • SAS (Statistical Software)
  • SAS/OR
  • SQL
  • Statistics
  • Underwriting
  • VBA

Job Description

Advisory - Risk, Financial Services - Actuarial Services (Insurance Analytics) - Senior Associate

Location: CN-Hong Kong-Hong Kong

In today’s complex business environment, developing a sound strategy using global insight and local reach is critical. As an actuarial professional, you’ll work closely with clients’ actuarial functions to assess their effectiveness and help them identify opportunities for improvement. Working alongside talented colleagues as part of a high-performing team, you’ll help clients adopt new financial reporting standards and support mergers and acquisitions.
Our structured career framework means you’ll continue to develop, whatever level you’re at. And with a truly global integrated network, you’ll liaise with colleagues and clients across sectors and borders. So whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. 


Your key responsibilities

  • Perform advance data analytics technics (Data Mining/Statistical Modeling) and Machine Learning technics on Insurance in-house data to add action insights to EY clients through Actuarial Projects
  • Apply data analytics skillsets and industry knowledge to facilitate all types of insurance related projects (Marketing & Distribution, Underwriting, Customer Management, Actuarial, Claims, Operation, Finance and Investment)
  • Provide exceptional consulting services and data knowledge to our clients
  • Contribute to capability development and actuarial knowledge base through feeding back best practices and redefining tools and techniques as appropriate
  • Conduct Advance insurance analytics: pay as you live, pay as you drive
  • Conduct Data visualization by utilizing Tableau and create interactive visual reporting

 Skills and attributes for success

  • Good project management, communication and inter-people skills
  • Proficiency in MS Office and VBA
  • Solid SQL & R modelling exposure is a MUST, SAS or Python will be a strong plus
  • Insurance Product and process knowledge are preferred

 To qualify for the role you must have

  • Postgraduate/graduate Degree in Actuarial Science, Mathematics, Statistics, and Computer Science with at least 3 years of insurance experience, experience in an actuarial and/or risk-related environment is preferred
  • Attained or close to attaining Associate/Fellowship in actuarial professional examination
  • Good command of spoken and written English; Mandarin is an advantage

What working at EY offers

  • 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’re using the finance products, expertise 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.

Make your mark. Join us in building a better working world.  


Apply now.

Employment TypeFull-time
Career LevelIntermediate (3-6 years)
Education LevelBachelor
LanguageEnglish, Mandarin (Putonghua)
Ernst & Young (EY)Accounting and Finance

Citic Tower, 1 Tim Mei Ave, Admiralty

directions_walk18 mins walk from Wan Chai Station