Python Quant Developer - High-Frequency Trading Team
We are working with a leading traditional and digital asset trading firm whose mission is to build a global financial institution designed for market integrity and efficiency. They apply a disciplined, first-principles approach to everything they do, delivering services such as institutional liquidity provision, trading solutions, OTC execution, and treasury management. Their goal is to create robust, scalable systems across all business lines.
The firm is seeking a Python Quant Developer to join its high-frequency trading team. This role involves owning and expanding the Python research and analytics stack that supports strategy research, backtesting, and live trading in crypto markets. You will work closely with quant researchers and traders to build tools and infrastructure used daily in production.
What You'll Do
- Take ownership of the Quant Research Experience (QRX) toolset.
- Collaborate with traders and researchers to develop quantitative trading models.
- Build research tooling for simulations, post-trade analysis, and visualizations.
- Design and maintain data pipelines for high-frequency and alternative data.
- Implement data validation, monitoring, and access layers for research and production.
- Scale research models into distributed compute workflows (Dask, Ray).
- Develop Jupyter-based tools for strategy prototyping and tuning.
- Implement performance attribution and diagnostic tools.
- Create dashboards and visualizations for order book and strategy monitoring.
Requirements
Must Have:
- 5+ years of professional Python development experience.
- Strong ability to write clean, modern Python code.
- Experience building and documenting APIs.
- Deep knowledge of Python ecosystem (Pandas, Numpy, Bokeh, PyArrow, Matplotlib, IPyWidgets, Jupyter, etc.).
- Proven experience with large-scale data pipelines and ETL workflows.
- Comfortable working in Jupyter notebooks.
- Understanding of crypto or traditional financial markets.
Nice to Have:
- Experience with crypto exchanges and market microstructure.
- Hands-on with interactive visualization libraries (e.g., Bokeh).
- Distributed compute experience (Dask, Ray).
- Familiarity with ML frameworks (JAX, PyTorch, TensorFlow, XGBoost).
- Experience with compilers and code generation.
Benefits
- International environment (English as the main language).
- Pension scheme.
- Comprehensive health coverage.
- Team events and offsites.
Apply Now!
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