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Senior Engineer/Engineer/Engineering Associate (PI), FinTech

Ref. ID:  CEO/TAIT/MSA/1165


The Hong Kong Applied Science and Technology Research Institute (ASTRI) was founded by the Government of the Hong Kong Special Administrative Region in 2000 with the mission of enhancing Hong Kong’s competitiveness through applied research. ASTRI’s core R&D competence in various areas is grouped under four Technology Divisions: Communications Technologies, Trust and AI Technologies, Integrated Circuits and Systems, and IoT Sensing and AI Technologies.

It is applied across six core areas which are Smart City, Financial Technologies, New Industrialisation and Intelligent Manufacturing, Digital Health, Application Specific Integrated Circuits, and Metaverse.

Over the years, ASTRI has nurtured a pool of research, I&T talents and received numerous international awards for its pioneering innovations as well as outstanding business and community contributions. To date, ASTRI has transferred almost 1400 technologies to the industries and been granted more than 1000 patents in the Mainland, the US, and other countries.

To support our constant endeavour to position Hong Kong as a world-class smart city and an international hub of innovation and technology, we are seeking qualified professionals to fill the following position(s):


Job Resposibilities:


  • Assist in ITF R&D project as assigned.
  • Develop deep learning models for fintech applications.
  • Develop data analytics systems.
  • Software development.
  • Algorithm design and implementation.


Job Requirements:


  • Graduate with a first degree in Mathematics, Computational Finance, Data Science, Computer Science, or relevant disciplines.
  • For Doctoral /Master/ Bachelor degree holders, they will be considered for the position of Senior Engineer / Engineer / Engineering Associate (PI) respectively.
  • Domain knowledge in machine learning model development and/or financial applications.
  • Experience in using tools and environments for developing AI and deep learning models.
  • Experience in programming using Python/C/C#/C++.
  • Knowledge of cryptography is a plus.
  • Lives ASTRI's value.



The appointment will be on renewable contract terms with a competitive salary. Fringe benefits include paid leave, medical insurance coverage and contribution to MPF. The incumbent will normally work a five-day week.


For interested parties, please submit your application with detailed CV within two weeks of the post date. Applicants are encouraged to submit their applications as soon as possible. The review of applications will continue until post is filled.


The resume should not include any sensitive personal information such as ID card no. or passport number, photo, etc.


Position offer is subject to the applicant’s experience and academic qualification. The application will be open until the position is filled. Only short-listed candidates will be notified. ASTRI reserves the right not to fill the position.


ASTRI is an Equal Opportunities Employer. Personal data provided by job applicants will be used exclusively for recruitment only. For details, please refer to ASTRI Privacy Policy Statement.


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