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Interns will develop models, implement trading strategies, and conduct statistical analysis while collaborating with senior team members.
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As a Quantitative Research Analyst Intern, you will develop trading strategies, conduct statistical analysis, and translate algorithms into code during an 11-week program.
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The Quantitative Research Intern will develop data ETL pipelines, research features for machine learning trading, and assist in code maintenance and best practices.
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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
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
