Open-rank faculty Positions in Fintech, AI, Financial Engineering, Machine Learning, Data Science

https:/hkust-gz.edu.cn/academics/four-hubs/society-hub/financial-technology; San Francisco (CA); On-site; USD 89,000 - 178,000; Full time

Benefits offered by this job

Annual leave

Medical benefits

Dental benefits

Housing benefits

Job summary

HKUST Guangzhou invites applications for tenure-track/tenured faculty across FinTech, Financial Engineering, AI, ML, and Data Science. We seek researchers with PhDs in FinTech or related fields and a track record of high-quality scholarship.

Positions at all ranks (Assistant/Associate/Professor) with a strong emphasis on interdisciplinary collaboration within the Financial Technology Thrust. English is the medium of instruction and administration.

Qualifications

• PhD required in FinTech or related fields (e.g., Computational Mathematics, Computer Science, Economics, Finance, Financial Engineering, Information Systems, Machine Learning, Mathematical Finance, OR, Optimization, Probability, Statistics).
• Open-rank positions at all ranks (Assistant/Associate/Professor).
• Areas of interest include blockchain, robo-advising, AI/ML, digital currencies, regulatory issues, digital economy.

Responsibilities

• Conduct cutting-edge research in FinTech and related fields.
• Teach and mentor at undergraduate, graduate, and PhD levels.
• Contribute to跨-disciplinary collaboration within HKUST Guangzhou’s four hubs.

Skills

Blockchain

Machine learning

AI

Big data analytics

Education

PhD in FinTech or related fields

Job description

Open-rank faculty Positions in Fintech, Financial Engineering, AI, Machine Learning, Data Science

Department: Financial Technology Thrust, The Hong Kong University of Science and Technology (Guangzhou)

In the rapidly changing environment of the 21st century, there is an increasing need to forge bridges across disciplines to address emerging challenges and problems. Through its commitment to academic excellence, The Hong Kong University of Science and Technology (HKUST) has developed world-class strengths in many subjects over its short 30-year history. With a strong track record of cultivating high end talents and nurturing future leaders for academia and industry, HKUST is well positioned to craft an innovative approach to cross-disciplinary education and research in its Guangzhou campus, The Hong Kong University of Science and Technology (Guangzhou) (HKUST(GZ)), and meet the needs of an ever-evolving world.

About HKUST Guangzhou Campus [https://hkust-gz.edu.cn/]

HKUST(GZ) offers a unique educational environment with four trans-disciplinary hubs and sixteen thrust areas. HKUST(GZ) offers superb research facilities, attracting top international faculty and students to conduct curiosity-driven and goal-oriented research to address the world’s pressing scientific and technological challenges. English is the medium of instruction and administration at HKUST(GZ).

HKUST(GZ) is situated in Nansha District, Guangzhou, which is right in the center of the Greater Bay Area, one of the most vibrant and dynamic regions in the world, neighboring Shenzhen, Hong Kong, and Macao.

Job Posting Details

The Financial Technology Thrust of Society Hub of The Hong Kong University of Science and Technology (Guangzhou) invites applications for tenure-track/tenured positions at all ranks (Assistant Professor / Associate Professor / Professor) in all fields of FinTech. For more information about the Fintech Thrust, please visit https://hkust-gz.edu.cn/academics/four-hubs/society-hub/financial-technology.

We seek talents in the cutting-edge research in FinTech. Applicants must have PhD degrees in FinTech or related fields, e.g., Computational Mathematics, Computer Science, Economics, Finance, Financial Engineering, Information Systems, Machine Learning, Mathematical Finance, Operations Research, Optimization, Probability, And Statistics.

Areas of interest include but are not limited to:

Blockchain technologies, smart contracts, and digital currencies

Robo-advising, quantitative investing, and risk management

Machine learning, artificial intelligence, and big data analytics in finance

Technological innovations for financial services

Regulatory issues and challenges in FinTech

Digital economy and financial inclusion

Remuneration and Conditions of Service

Salary is highly competitive. Fringe benefits include annual leave, medical and dental benefits. Housing benefits will also be provided where applicable. Appointment at Professor rank will be on substantive basis. Appointment at Associate Professor may be with or without substantiation. Initial appointment for Assistant Professor or Associate Professor (without substantiation) will normally be on a three-year contract, renewable subject to mutual agreement.

We seek talents in the cutting-edge research in FinTech. Applicants must have PhD degrees in FinTech or related fields, e.g., Computational Mathematics, Computer Science, Economics, Finance, Financial Engineering, Information Systems, Machine Learning, Mathematical Finance, Operations Research, Optimization, Probability, And Statistics.

Areas of interest include but are not limited to:

Blockchain technologies, smart contracts, and digital currencies

Robo-advising, quantitative investing, and risk management

Machine learning, artificial intelligence, and big data analytics in finance

Technological innovations for financial services

Regulatory issues and challenges in FinTech

Digital economy and financial inclusion