Fintech Career Accelerator Scheme ("FCAS")
The Gap Year Placement Programme of the Fintech Career Accelerator Scheme ("FCAS") was initiated by the Hong Kong Monetary Authority (HKMA) in 6.
Launched in collaboration with partnering institutions, namely Hong Kong Applied Science and Technology Research Institute (ASTRI), Cyberport and the Hong Kong Science and Technology Parks Corporation (HKSTP), the programme nurtures fintech talent to meet the growing demands in Hong Kong.
The Gap Year Placement Programme is a full-time, semester-based internship in which interns will work on fintech projects at the HKMA, banks (including virtual banks) or stored value facility operators for six months or one year and receive technology training and regulatory updates respectively.
To expand the talent pool for the development of the fintech sector in Hong Kong by giving students an early exposure to the sector;
To nurture fintech talent by offering practical industry experience through internships; and
To provide opportunities for the industry to identify and recruit young talent.
Undergraduates or postgraduates.
Relevant disciplines : Engineering, Computer Science, Sciences, Business & Finance, and Law.
Strong interest and motivations to learn and explore Fintech.
Job Duties :
Assist in implementing Fintech projects
Explore and implement state-of-the-art new technology such as artificial intelligence, machine learning, block chain and big data analytics in the bank to provide better service to customers and support business needs and in alignment with the Bank and HKMA’s Fintech Strategy.
Conduct researches and keep track on the emerging technologies in Fintech market
Design and develop easy-to-use financial application on internet and mobile for the customers
Participate in software development projects leading to real life impacts to the bank and its customers
Experiment and integrate individual software components or systems to produce innovative solutions to business problem
A) Education Background :
PG or UG student
B) Discipline Preferred :
Computer Science, Information Systems, Data Science, Statistics, Mathematics or Engineering related disciplines
C) Technical Skills :
Web Application Development
Mobile App Development
Data Engineering and Analytics
D) Language Proficiency :
Good command of written and spoken English and Chinese
E) Others :
Independent with logical and analytical thinking
Fast learner who are passionate about new technologies
Self-initiative, positive and a good team player
Presentable and a good team player