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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Kronos Research | Singapore, Singapore | $64k - $72k | |||
DV Trading | Dubai, United Arab Emirates | $77k - $88k | |||
Kronos Research | Taipei, Taiwan | $32k - $81k | |||
Coins.ph | Shanghai, China | $21k - $60k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Entangle Labs | Dubai, United Arab Emirates | $94k - $96k | |||
Coins.ph | Cebu City, Philippines | $41k - $70k | |||
Animoca Brands Limited | Hong Kong, Hong Kong | $31k - $60k | |||
Crypto.com | Hong Kong, Hong Kong | $31k - $72k | |||
Binance | Singapore, Singapore |
| |||
Lightblocks | Tel Aviv, Israel | $72k - $90k | |||
BitGo | Singapore, Singapore | $31k - $81k | |||
Brinc | Dubai, United Arab Emirates | $21k - $60k | |||
Coinhako | Singapore, Singapore | $45k - $77k | |||
Binance | Singapore, Singapore |
| |||
Gate.io | APAC | $32k - $81k |
As a Quantitative Research Intern at Kronos Research, you have the opportunity to work with cutting-edge techniques in quantitative finance and machine learning. You will work closely with other world-class talent on improving our advanced high-frequency trading algorithms and prediction models.
Job Description
We are seeking a highly motivated Quantitative Research Intern to join our team in Singapore. In this role, you will:
- Enhance prediction accuracy through the integration of advanced methodologies in time series models
- Maintain and improve upon existing simulation and research pipelines for accuracy and expedite time to market
- Explore trading ideas by monitoring trading systems and analyzing market data, market microstructure, and trading results for patterns
- Conduct research and statistical analysis to refine and optimize trading signals for different markets
- Collaborate with the research team to design and implement innovative solutions for complex quantitative problems
Requirements
- Strong background in a quantitative discipline such as EE/CS/Math/Physics/Quantitative Finance/Financial Engineering/Data Science
- Prior research experience in AI, LLM, ML related fields
- Strong interest in the quantitative trading industry
- Detail-oriented and strong aptitude for working with numerical data
- Proactive, self-driven, and capable of owning projects from inception to completion.
- Ability to tackle complex problems with curiosity and creativity, offering innovative solutions
- Excellent verbal and written communication skills, with the ability to effectively collaborate in a team environment
- Participation in Kaggle competition or AI projects is a plus