1. Educational Qualifications

Bachelor Degree in Information Technology/Data Management/Big Data/ Information system.

2. Relevant Knowledge/ Expertise

– At least 3 years experience in any following data analysis programming languages: Python, R, Java, Scalar, Spark is a must. Knowledgeable in at least any web programming languages is a big plus

– Experience in multinational project, cross-functional engineering teams is a plus.

3. Skills

– Ability of reading, understanding IT materials in English

– Ability of communicating in English. IELTS 6.5 and above, or TOEIC 700 and above is a plus

– Good in thinking, observing and analytics

– Ability of presenting idea to non-technical people

– Flexibility, and adaptability in this fast-growing environment

– Knowledgeable about anything of finance, accounting, business, e-commerce, insurance, securities is preferred.

4. Relevant Experiences

– 2+ years of overall IT experience including the following:

– Experience in evolving/managing technologies/tools in a rapidly changing environment to support business needs and capabilities

– Experience with backend microservice, Cloud Computing such as Google, AWS and big data projects in the financial industry is a plus

5. Personal Characteristics

– Hard-working, proactive, creative, and patient

– High compliance and paying attention to detail.

– Willing to learn more, and adapt quickly to new things (because the process, management requirements, technology, …change frequently)