AIFT
AI Fintech Lab Ltd
Laboratory for AI-Powered Financial Technologies Limited (AIFT) has been admitted to InnoHK Research Clusters, the Hong Kong Government announced in Year 2021. AIFT develops innovative projects for the Hong Kong financial industry. We aim to be a leading research center on the financial technologies and services.. We are committed to carrying out pioneering research, attracting the brightest minds, nurturing the most sparkling ideas, bringing the best business solutions, and providing start up and spin off opportunities.
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Registration Information
BRN/Business Registration Number
71715892
Date of Establishment
2020-03-26
Company Registered Address
UNIT 1101-1102 & 1121-1123, BUILDING 19W,, 19 SCIENCE PARK WEST AVENUE,, HONG KONG SCIENCE PARK, HONG KONG
*BRN/Business Registration Number is an identifier only and is not for dialing
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No experience limit
No degree required
5-day work week, enjoying bank public holidays
Additional maternity leave, compassionate leave
Dental plan, medical plan, insurance plan
No experience limit
No degree required
5-day work week, bank holidays, etc
Comprehensive medical insurance plan, dental plan, etc
Diverse work visa options including Tech Talent Pass, Quality Migrant Admission Scheme, etc
No experience limit
No degree required
5-day work week, bank holidays, additional maternity leave
Dental plan, medical plan, insurance plan
Shuttle bus service for convenient commuting
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No experience limit
Bachelor
Flexible bonuses, commissions, year-end bonus
Flexible working hours
Providing insurance and medical plans
- Active recently
Part Time
No experience limit
No degree required
Sign-on bonus up to HKD 16,000, monthly salary HKD 20,000-68,000 with base and commission
Comprehensive medical and insurance benefits covering outpatient, hospitalization, dental, etc
Flexible working hours supporting work-life balance
Part Time
No experience limit
Diploma of Secondary School
Incentive-based salary + uncapped commission, no ceiling
Comprehensive pre-employment and on-the-job training, mentorship program
Rapid promotion pathway, annual performance bonus
AIA Super Million Dollar Round Table Region
- Active within 3 days
No experience limit
Higher Diploma or Associate Degree
Competitive commission structure, generous performance bonuses, exclusive newcomer allowances
Clear career progression, rapid leadership development
Full professional qualification sponsorship, special startup allowance, GBA professional exchange
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Work benefits
Job Description
The Laboratory for AI-Powered Financial Technologies Limited (AIFT) aims to be a leading research centre on financial technologies and services.We are seeking forpassionate and talentedQuantitative Analystto join our growing team.
Key Accountabilities
Manage the end-to-end data pipeline with thorough validation, cleaning, transformation, and ongoing updates of client and transaction performance data.
Assist with enhancing and maintaining the existing platform (TypeScript and React frontend, Python and FastAPI backend) by implementing functional modifications, bug fixes, and new requirements.
Assist with the development and maintenance of a robust, high-performance, production-grade Python-based simulation and analytics components (Monte-Carlo simulations, financial modelling, multiprocessing).
Coordinate with the supervisors and cross-functional teams to solicit cooperation and resolve problems.
Explore the cutting edge FinTech solution empowered by Big Data, artificial intelligence, LLM, and modern financial technologies and tools.
Knowledgeable on Fintech development in the leading areas in the industry.
Undertake ad-hoc tasks as assigned from time to time.
Qualification / Knowledge & Experience
Bachelor's degree or above with a strong academic background in a quantitative discipline (Internet and Multimedia Technologies, Computer Science, Data Science, Finance, or related fields) from a recognized institute / university.
Proficiency and hands-on experience with Python.
Deep expertise in database systems (SQL and NoSQL), data validation, reconciliation, and pipeline management; exceptional attention to detail and commitment to data accuracy.
Strong command of data tools and scripting (Python, ETL processes, data quality frameworks).
Proficiency and hands-on experience in TypeScript, React, and Ant Design (AntD) with solid full-stack development skills (frontend and backend) highly preferred but not required; prior experience with financial or transaction platforms will be highly advantageous.
Knowledge and experience with system architecture and system deployment is a plus.
Excellent analytical and problem-solving abilities with the capacity to work independently in a dynamic environment.
Familiarity with LLM applications is preferred.
Candidates with outstanding strength in data and analytics are strongly encouraged to apply even if they do not have frontend experience; conversely, candidates with strong full-stack skills are also welcome.
Less experience will be considered as Assistant Quantitative Analyst.
Fresh graduates are welcome.
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Job Location
Science Park-Ma Liu Shui, Sha Tin
Science Park
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