Python Quantitative Developer
Core
Designing, building, and maintaining scalable Python data pipelines to transform raw market data into high-quality datasets for quantitative research and trading.
Role type
Senior IC Python quantitative data engineer
Builds
Scalable data pipelines and analytical tooling for quantitative research and trading teams
Domain
Financial markets / Quantitative trading / Data engineering
Deliverable
production ML models
Required skills
Python, Pandas, NumPy, Polars, Parquet, HDF5, Linux, distributed systems, networking, performance optimization
Preferred skills
Financial markets experience, market data experience, quantitative environments
Technologies
Python, Pandas, NumPy, Polars, Parquet, HDF5
Responsibilities
Designing and building scalable Python data pipelines for research and production; Processing and transforming large volumes of market and financial data; Developing analytical tooling for quantitative researchers; Investigating and resolving data quality issues; Optimizing storage, processing performance, and data throughput
Seniority
Senior, hands-on IC
