Quantitative Developer
Employment Info
JOB DETAILS
Requirements
- Strong Python, especially the data stack (NumPy, Pandas, and columnar/array libraries such as Polars)
- Experience with numeric/large-scale data storage formats (e.g. HDF5, Parquet) and processing large, varied datasets
- Comfortable working in a Linux environment
- Solid grounding in computer networking
- Ability to understand financial data, models and mathematical algorithms
- Strong interpersonal and communication skills — you’ll work daily with traders, quantitative analysts, production-pipeline and infrastructure teams, and other developers, often coordinating across regions
Responsibilities
- Build and maintain derived datasets and data products — designing, generating, and regenerating the datasets quants load directly for research and strategy work
- Source, capture and curate market data — handling a wide variety of exchange data formats (multicast/UDP feeds) and the firm’s data archive
- Develop, maintain and deploy analytical tools and data pipelines that feed research and production — including scheduled pipelines and large-scale backtest compute on distributed clusters
- Own data quality and incident response — investigating missing, late or anomalous data, tracing root causes upstream and keeping the data accurate and timely
- Performance-tune storage and processing — improving data layout, load times and throughput to handle large and varied datasets efficiently
Desired Qualifications
- Experience or interest in capital markets, market data, probability, or applying engineering solutions to these areas is a plus
Are you interested in this position?
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