Quantitative Software Engineer (DV Commodities)

Responsibilities

• Build quantitative trading tools including signal research, backtesting frameworks, and strategy monitoring.
• Develop and productionize fundamental energy-market models covering supply and demand, inventory, flows, curves, and spreads.
• Build analytics and visualization tools for markets, positions, and PnL drivers.
• Design pipelines to ingest, clean, store, and access market, fundamental, and alternative data.
• Integrate models and tools with event-based risk, market-data, and pricing platforms.
• Test, monitor, document, and iteratively improve models and tools based on trader feedback.

Requirements

• Bachelor’s degree or higher in computer science, engineering, mathematics, statistics, physics, or another quantitative discipline.
• At least 2 years of professional experience building quantitative trading tools, models, or analytics in a financial or commodities setting.
• Strong Python skills in a scientific-computing environment, including tools such as NumPy, pandas, SciPy, or statsmodels.
• Grounding in statistics, time-series analysis, and data modeling; machine-learning experience is a plus.
• Experience building data pipelines, working with large datasets, and using SQL, NoSQL, or tick databases.
• Experience with data visualization and dashboarding tools such as Plotly/Dash, Streamlit, or Grafana.
• Knowledge of algorithms, design patterns, and object-oriented programming; Java or C++ is a plus.
• Experience with Unix and Git.
• Familiarity with Kafka, Docker, Airflow, or Luigi.
• Strong verbal and written English communication skills and the ability to work closely with traders.
• Energy-market, futures, and swaps domain knowledge is a plus.

Benefits

• Discretionary bonus eligibility.
• Medical, dental, and vision insurance.
• HSA, FSA, and dependent-care options.
• Employer-paid group term life and AD&D insurance, plus voluntary LTD, life, and AD&D insurance.
• Flexible vacation policy.
• Retirement plan with employer match.