Tech Stack
ETLNumpyPandasPythonPyTorchRayTensorflow
About the role
- Own and expand the Python research and analytics stack powering strategy research, backtesting, and production trading in crypto markets.
- Take ownership of QRX (Quant Research Experience) and deliver a fast, effective toolset for Quant Researchers.
- Work alongside traders and researchers to develop quantitative trading models.
- Build high-quality research tooling including simulations, post-trade analysis, and visualizations.
- Build data pipelines for high-frequency market data and alternative data.
- Implement data validation, monitoring, and access layers for research and production use.
- Scale up and productionize research model pipelines into large-scale, reliable distributed compute jobs.
- Manage distributed compute workflows with Dask, Ray, and other frameworks.
- Develop Jupyter tooling, templates, and widgets for strategy prototyping and parameter tuning.
- Implement performance attribution, PnL decomposition, and diagnostic tools.
- Build dashboards and visualizations (Bokeh, Matplotlib) for order book and strategy monitoring.
Requirements
- 5+ years professional Python development experience.
- Extremely effective in writing clean, modern Python code.
- Experience building and documenting high-quality APIs for developers.
- Deep Python ecosystem expertise: Pandas, Numpy, Bokeh, PyArrow, matplotlib, IPyWidgets, Jupyter, uv, etc.
- Proven experience building large data pipelines / ETL workflows.
- Comfortable working in Jupyter notebooks.
- An understanding of crypto or TradFi markets and trading concepts.
- Experience with crypto exchanges and market microstructure.
- Hands-on with Bokeh or other interactive viz libraries.
- Distributed compute (Dask, Ray) experience.
- ML Stack (JAX, Pytorch, Tensorflow, XGBoost, etc.) experience.
- Experience with compilers and code generation.
- International environment (English is the main language)
- Pension
- 100% health coverage
- Team events and offsites
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonAPIsdata pipelinesETL workflowsBokehMatplotlibDaskRayJupyterML Stack
Soft skills
clean codeeffective communicationcollaborationproblem-solvingdocumentation