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1 to 3 yrs
Bachelor
Explore cutting edge FinTech solutions
Solid skills and experience with Python
Experience with financial data preferred
1 to 3 yrs
Bachelor
5-day work week with bank holidays
Insurance and medical plans provided
- Active recently
3 to 5 yrs
Master
5-day work week, promoting work-life balance
Diverse and inclusive work environment, championing respect and belonging
Global collaboration and cross-disciplinary innovation
- Active recently
No experience limit
Bachelor
Flexible bonus, additional allowances provided
- Active recently
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Job Description
Job Description
- Assist with data handling and analysis of financial datasets.
- Assist with developing and maintaining algorithmic trading strategies. Utilize backtesting frameworks and validate against historical data.
- Explore the cutting edge FinTech solution empowered by Big Data, artificial intelligence, LLM, and modern financial technologies and tools.
- Design, implement, and formulate financial models for predetermining the financial curves to facilitate financial transactions and portfolio management.
- Remain knowledgeable on Fintech development in the leading areas in industry.
- Coordinate with the supervisors to solicit cooperation and resolve the problems.
- Undertake ad-hoc tasks as assigned from time to time.
Qualifications
- Solid skills and experience with Python.
- Decent knowledge of concurrent financial products, trading strategies, and local and international financial markets.
- Ability to adapt into an evolving and dynamic environment.
- Experience with financial data to conduct data analysis or develop trading strategies is preferred.
- Less experience will be considered as Assistant Quantitative Analyst.
Languages
Skills
Company Overview
FinSights Digitech Limited (FinSights) is an AI-powered platform designed to make investment research faster, smarter, and more accessible. It solves key challenges and high entry barriers for institutional users and individual investors. Using advanced AI, FinSights brings together large amounts of financial data, tracks market events, and provides clear, actionable recommendations — helping users make better investment decisions with confidence.
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