- Sungei Kadut Way Sungei Kadut Northwest (Singapore) Singapore
MyCareersFuture Hiring! Full Time Quantitative Research Analyst in Northwest (Singapore), Earn up to SGD 22,500 - Ricebowl
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Job Description
Responsibilities
Your future role at QRT
In this internship role, you will contribute to QRT’s systematic teams that operate across high-, mid-, and low-frequency strategies
Research
Your core objective will be to develop high-quality predictive signals. You will leverage access to vast and diverse datasets to identify hidden statistical patterns and market opportunities. Collaborating with fellow researchers to exchange ideas and refine methodologies. You will be trained to lead the full research cycle - from idea generation to implementation.
Your present skillset
Pursuing an advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering
High level of technical knowledge in statistics, machine learning, NLP or AI techniques is a plus
Coding skills required in at least one leading programming language (Python and C++ or C#)
Experience in exploring large datasets across multiple time frames is a plus
Capacity to multi-task in a fast-paced environment while keeping strong attention to detail
Ability to work autonomously, in a collegial and collaborative setting, and with colleagues from diverse backgrounds and areas of expertise.
Excellent communication skills
Fluent in English, any other language is a plus
Note: This is an internship position with potential conversion to a permanent role
In this internship role, you will contribute to QRT’s systematic teams that operate across high-, mid-, and low-frequency strategies
Research
Your core objective will be to develop high-quality predictive signals. You will leverage access to vast and diverse datasets to identify hidden statistical patterns and market opportunities. Collaborating with fellow researchers to exchange ideas and refine methodologies. You will be trained to lead the full research cycle - from idea generation to implementation.
Your present skillset
Pursuing an advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering
High level of technical knowledge in statistics, machine learning, NLP or AI techniques is a plus
Coding skills required in at least one leading programming language (Python and C++ or C#)
Experience in exploring large datasets across multiple time frames is a plus
Capacity to multi-task in a fast-paced environment while keeping strong attention to detail
Ability to work autonomously, in a collegial and collaborative setting, and with colleagues from diverse backgrounds and areas of expertise.
Excellent communication skills
Fluent in English, any other language is a plus
Note: This is an internship position with potential conversion to a permanent role
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