Graviton Research Capital
Quantitative Researcher - 2027 Graduates
Eligibility
- Graduate degree holder
- Quantitative discipline
Graduate Quantitative Researcher role investigating market behaviour, developing predictive models and quantitative signals for systematic trading with exposure to machine learning and large datasets.
Responsibilities
- Discovering predictive patterns and sources of alpha from billions of market events
- Formulating hypotheses about market behaviour and designing experiments to test them
- Applying probability, statistics, optimization and machine learning to build predictive models and quantitative signals for systematic trading
- Designing robust backtests and statistical tests to distinguish genuine signals from noise
- Working with large and complex datasets to uncover patterns that aren't immediately visible
- Investigating market microstructure and how markets behave at different timescales
- Evaluating strategy performance, identifying weaknesses and continuously refining models
- Developing research infrastructure and AI-powered tools and agents that make experimentation faster and analysis deeper
- Working closely with technologists to translate research ideas into efficient, production-ready systems
- Exploring new techniques in machine learning, statistics and quantitative finance to uncover new sources of edge
Requirements
- Degree in a quantitative discipline such as mathematics, physics, computer science, statistics, operations research or machine learning
- No active backlogs
- Strong programming skills in Python and/or C++
- Solid grounding in probability, statistics, linear algebra and optimization, with experience in machine learning, statistical modelling or data analysis
- Comfort working with large, complex datasets, and strong analytical thinking
- Excellent communication skills, with the ability to explain complex ideas clearly
Skills
- Python
- C++
- probability
- statistics
- linear algebra
- optimization
- machine learning
- statistical modelling
- data analysis
- Employer posted
- Last checked