Junior Quant Researcher - ML Alpha Research
Squarepoint Capital · Bengaluru · Posted 2026-07-19
Tech stack: Python
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About the role
Please only apply to the one job you feel best fits your skillset and experience. If our team feels you are better suited for another role, we will reach out about the alternate opportunity.
Typical Day:
Responsibilities:
- Research statistical techniques such as time-series methods, machine learning and NLP to extract value from data
- Analyze large data sets using advanced statistical and ML methods to identify trading opportunities
- Help to develop statistical and ML based tools and techniques to solve complex data related problems throughout the firm.
- Primary focus throughout the day is on researching new statistical and ML techniques and exploring datasets
- Discuss and present research results with other researchers
- Deploy and monitor models used to generate trading signals.
Qualifications:
- Quantitative background - includes advanced degrees in computer science, machine learning / NLP, statistics, signal processing, optimization, mathematics and related STEM subjects (masters or higher)
- Demonstrated ability for doing high quality and rigorous research, along with communicating results to stakeholders.
- Programming proficiency with at least one major programming or scripting language (e.g. python, kdb-q, )
- Strong communication skills and ability to work well with colleagues across multiple regions
- Ability to work well in collaborative and high pace settings, and drive projects to completion in accelerated timelines.
Qualifications
- Quantitative background - includes advanced degrees in computer science, machine learning / NLP, statistics, signal processing, optimization, mathematics and related STEM subjects (masters or higher)
- Demonstrated ability for doing high quality and rigorous research, along with communicating results to stakeholders.
- Programming proficiency with at least one major programming or scripting language (e.g. python, kdb-q, )
- Strong communication skills and ability to work well with colleagues across multiple regions
- Ability to work well in collaborative and high pace settings, and drive projects to completion in accelerated timelines.
Responsibilities
- Research statistical techniques such as time-series methods, machine learning and NLP to extract value from data
- Analyze large data sets using advanced statistical and ML methods to identify trading opportunities
- Help to develop statistical and ML based tools and techniques to solve complex data related problems throughout the firm.
- Primary focus throughout the day is on researching new statistical and ML techniques and exploring datasets
- Discuss and present research results with other researchers
- Deploy and monitor models used to generate trading signals.