Research and prototype strategies using
ML/RL and statistical methods
on tick-level data.
Design features, build robust backtests, and translate research into
production-ready Python/C++ code
.
Collaborate with traders and engineers to ensure efficient deployment and execution.
Continuously improve models, monitor performance, and refine signals.

What we are looking for

Strong
Python, C++, and Linux
skills.
Hands-on experience in
ML/RL, time-series modelling, and data science
.
Ability to take research from hypothesis → backtest → live deployment.
Understanding of
market microstructure
.
Entrepreneurial mindset, driven to find real-world edge.

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Quantitative Researcher (Python, C++, ML, RL)