Quantitative Researcher: Uncover Market Edges & Insights

Tradermath; Amsterdam; Hybrid; EUR 120,000 - 170,000; Full time

Job summary

Graviton seeks a meticulous Quantitative Researcher to explore market patterns, develop predictive models, and validate strategies across large datasets. You will test hypotheses, build robust backtests, and work with a multi-disciplinary team to deploy research into live trading systems.

The role emphasizes rigorous thinking, mathematical rigor, and the ability to translate complex ideas into scalable tools within a fast-paced trading environment.

Qualifications

• Degree in a quantitative discipline such as mathematics, physics, computer science, statistics, operations research or machine learning.
• Strong programming skills in Python and/or C++.
• Solid grounding in probability, statistics, linear algebra and optimization, with experience in machine learning or data analysis.
• Excellent communication skills, with the ability to explain complex ideas clearly.

Responsibilities

• Investigate market behaviour and develop quantitative models.
• Build and test hypotheses and turn insights into trading strategies.
• Design robust backtests and statistical tests to distinguish genuine signals from noise.
• Collaborate with researchers and technologists to translate ideas into production systems.
• Explore new techniques in ML, statistics and quantitative finance to uncover edge sources.

Skills

Python/C++ programming

Probability and statistics

Machine learning understanding

Communication skills

Education

Quantitative degree (math/physics/CS/statistics/OR/ML)

Job description

Graviton seeks a meticulous Quantitative Researcher to explore market patterns, develop predictive models, and validate strategies across large datasets. You will test hypotheses, build robust backtests, and work with a multi-disciplinary team to deploy research into live trading systems.

The role emphasizes rigorous thinking, mathematical rigor, and the ability to translate complex ideas into scalable tools within a fast-paced trading environment.