Python / Data Engineer
Core
Building, maintaining, and optimizing data pipelines and analytical tools to support quantitative investment strategies and research.
Role type
Senior Python/Data Engineer (Quantitative Investment)
Builds
Data pipelines, datasets, and analytical tools for investment research
Domain
Quantitative finance / Data engineering
Deliverable
production ML models | product features
Required skills
Python (Pandas, Polars, DuckDB), SQL, data manipulation, statistics, probability, ML models (regression, classification, time series), data structures, algorithms, performance optimization
Preferred skills
Financial datasets, data visualization (Matplotlib, Seaborn, Plotly), cloud platforms (AWS/Azure/GCP), big data technologies (Spark, Dask, PyArrow), backtesting frameworks, financial modeling tools, DevOps/CI-CD
Technologies
Python, Pandas, Polars, DuckDB, SQL, Matplotlib, Seaborn, Plotly, AWS, Azure, GCP, Spark, Dask, PyArrow
Responsibilities
Build and optimize data pipelines for quantitative strategies; Perform data cleaning and transformation; Support development and validation of statistical/ML models; Ensure data quality across sources; Automate feature engineering and reporting; Contribute to backtesting frameworks
Seniority
Senior, hands-on IC