Quantitative Internships
19 jobs found
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Job Position | Company | Posted | Location | Salary | Tags |
---|---|---|---|---|---|
Kronos Research | Singapore, Singapore | $64k - $72k | |||
InfiniteQuant | New York, NY, United States | $72k - $120k | |||
Openmesh | Remote | $45k - $80k | |||
Injective Labs | Remote | $84k - $115k | |||
Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Kronos Research | Taipei, Taiwan | $32k - $81k | |||
Queueco | London, United Kingdom | $80k - $96k | |||
Ripple | London, United Kingdom | $64k - $86k | |||
InfiniteQuant | New York, NY, United States | $72k - $96k | |||
Ripple | London, United Kingdom | $64k - $86k | |||
Openmesh | Sydney, Australia | $54k - $100k | |||
InfiniteQuant | New York, NY, United States | $72k - $96k | |||
Kronos Research | Taipei, Taiwan | $89k - $102k | |||
Ripple | London, United Kingdom | $21k - $118k | |||
Gate.io | Hong Kong, Hong Kong | $63k - $72k | |||
Kronos Research | Hong Kong, Hong Kong | $72k - $91k |
Kronos Research
$64k - $72k estimated
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