Quantitative Software Engineer (DV Commodities)
Core
Build production-grade quant trading tools, fundamental analysis models, and analytics for energy commodities trading.
Role type
Quantitative Software Engineer (Commodities)
Builds
Quant trading tools, fundamental models, analytics dashboards, and data pipelines for energy markets
Domain
Financial services / Energy commodities
Deliverable
production ML models
Required skills
Python (scientific computing), statistics, time series analysis, data modeling, data pipeline design, SQL/NoSQL, data visualization
Preferred skills
Machine learning, Java/C++, Unix environment, Kafka/Docker/Airflow, energy market domain knowledge
Technologies
Python, numpy, pandas, scipy, statsmodels, SQL, NoSQL, Plotly/Dash, Streamlit, Grafana, Kafka, Docker, Airflow, Luigi
Responsibilities
Build quant trading tools including signal research and backtesting frameworks; Develop and productionize fundamental models for energy markets; Build analytics and visualization tools for traders; Design data pipelines for market and fundamental data; Create efficient storage schemes for time series and reference data; Integrate models with risk and pricing platforms
Seniority
Mid-level, hands-on IC