Quantitative Researcher: Turn Data into Trading Edge

Trading Interview; Amsterdam; Hybrid; EUR 120,000 - 180,000; Full time

Job summary

Graviton Research Capital is seeking a Quantitative Researcher to explore market patterns, develop quantitative models, and turn insights into live trading strategies. You will work with researchers and technologists across offices in Singapore, London, Amsterdam, and the US, tackling open-ended problems with large datasets and advanced analytics.

Candidates should be rigorous, enjoy mathematics and programming, and have strong Python and/or C++ skills, along with a solid grounding in

Qualifications

• Degree in a quantitative discipline; strong mathematical foundation.
• Proficient programming in Python and/or C++.
• Solid grounding in probability, statistics, optimization and ML concepts.

Responsibilities

• Discover predictive patterns and sources of alpha from billions of market events.
• Formulate hypotheses about market behaviour and design experiments to test them.
• Apply probability, statistics, optimization and machine learning to build predictive models and signals for systematic trading.
• Design robust backtests and statistical tests to distinguish genuine signals from noise.
• Work with large, complex datasets to uncover non-obvious patterns.
• Investigate market microstructure and timescale effects.
• Evaluate strategy performance and refine models continuously.
• Develop research infrastructure and AI-powered tools to speed experimentation.
• Translate research ideas into production-ready systems with technologists.

Skills

Python

C++

Statistics

Data analysis

Communication skills

Education

Degree in a quantitative discipline (e.g., mathematics, physics, computer science, statistics, machine learning)

Tools

Python ecosystem

Job description

Graviton Research Capital is seeking a Quantitative Researcher to explore market patterns, develop quantitative models, and turn insights into live trading strategies. You will work with researchers and technologists across offices in Singapore, London, Amsterdam, and the US, tackling open-ended problems with large datasets and advanced analytics.

Candidates should be rigorous, enjoy mathematics and programming, and have strong Python and/or C++ skills, along with a solid grounding in