Quantitative Researcher -Data Infrastructure & Signal Development
New York, New York, United States of America
USD 150K-200K Mid-level Full Time
Tasks
- Build automated backtesting framework with transaction cost modeling
- Build research data pipeline
- Design high performance research environment
- Develop backtest and validate intraday alpha signals
- Estimate slippage
- Ingest clean normalize and store equity tick and minute bar data
- Maintain reproducible research notebooks and documentation
- Monitor live signal performance and detect regime changes
- Perform feature engineering on market microstructure data
- Publish validated signals to production trading engine
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Arrow | Backtesting | Cost modeling | Cross-validation | Data Quality | Data pipeline | Feature Engineering | Hypothesis Testing | Intraday trading | Kdb Plus | Kdb plus Q | Lasso | Machine Learning | Market Microstructure | NumPy | Order Book | Order book data | Pandas | Parquet | Polars | Python | Regression | Ridge | Schema Design | SciPy | Series analysis | Slippage Estimation | Tick data | Time Series | Time Series Analysis | Transaction cost modeling
Education
Roles
Data Engineer | Engineer | Quantitative Researcher | Researcher
Regions
Countries
States
Cities
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