THE UNIVERSITY OF HONG KONG

Postdoctoral Fellow in Big Data and Financial Technology

Location
Pok Fu Lam, Hong Kong
Posted
24 Jul 2020
End of advertisement period
03 Aug 2020
Ref
501780
Contract Type
Permanent
Hours
Full Time

The University of Hong Kong 's highest priorities are to create opportunities for the very best academic talents to excel and to advance human knowledge to the benefit of society. We serve the needs of Hong Kong, the wider region and the rest of the world.

Work type: Full-time
Department: Faculty of Business and Economics (07030)
Categories: Academic-related Staff

Applications are invited for appointment as Post-doctoral Fellow in Big Data and Financial Technology (FinTech) in the Faculty of Business and Economics (Ref.: 501780), to commence as soon as possible for 2-3 years.

Applicants should possess a Ph.D. degree in Finance, Computer Science, Mathematics or a relevant field. They should demonstrate excellent ability to communicate effectively both in writing and in oral presentations in Chinese and English.  Preference will be given to those with prior experience in or knowledge of Financial Technology (FinTech).

The appointee will work closely with the Principal Investigator to conduct research under his supervision in a predominantly independent manner, and pursue investigations on applying machine learning and modern Artificial Intelligence techniques in the fields of FinTech. The related topics include but not limited to risk management, alternative data processing, financial asset pricing, robot advisory, quantitative trading, smart contract and blockchain. Enquiries about the post can be sent to cfid@fbe.hku.hk.  

Applicants who have responded to the previous advertisement (Ref.: 500070) are still under consideration and need not re-apply.

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. 

The University only accepts online application for the above post.  Applicants should apply online and upload an up-to-date C.V, research papers, three confidential reference letters, and other supporting documents. Review of applications will start as soon as possible and continue until August 3, 2020, or until the post is filled, whichever is earlier.

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