Squarepoint Capital
Junior Quant Researcher - ML Alpha Research
Eligibility
- Advanced degree in relevant quantitative or STEM field
- Suitable for new graduates or early career candidates
Graduate role involving research in statistical, machine learning and NLP techniques to generate trading signals and analyze data sets at a quantitative trading firm.
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 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
Requirements
- Quantitative background with advanced degree (masters or higher) in CS, machine learning, NLP, statistics, math or related STEM subjects
- Demonstrated ability for high quality and rigorous research
- Programming proficiency in at least one major language (e.g. python, kdb-q)
- Strong communication skills and ability to work across multiple regions
- Ability to work well in collaborative and high pace settings
Skills
- machine learning
- NLP
- time-series analysis
- python
- kdb-q
- statistical research
- Employer posted
- Last checked