DV Trading
Quantitative Software Engineer (DV Commodities)
$160K–$190K
New York · Full-time · Posted Oct 15, 2026
- Experience
- 2+ years professional experience in the stated areas.
- Education
- Bachelor’s degree or higher in CS, Engineering, Mathematics, Statistics, Physics, or another quantitative discipline.
About the job
Build and maintain quantitative trading tools, energy-market models, analytics, and data systems in collaboration with traders, quants, and engineers.
What you'll do
- Build trading tools for signal research, backtesting, and strategy monitoring, and develop fundamental energy-market models.
- Create analytics, visualization tools, and data pipelines; integrate them with the firm’s risk, market data, and pricing platform.
- Test, monitor, document, and improve models and tools based on trader feedback.
What they ask for
- Bachelor’s degree or higher in CS, Engineering, Mathematics, Statistics, Physics, or another quantitative discipline.
- 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; grounding in statistics, time series analysis, and data modeling.
- Experience with data pipelines and large data sets, SQL, NoSQL, or tick databases; data visualization and dashboarding tools; algorithms, design patterns, OOP, Unix, and git.
Nice to have
- Machine learning experience; Java or C++; familiarity with Kafka, Docker, Airflow, or Luigi.
- Energy-market, futures, and swaps domain knowledge.
Pay
$160,000 — $190,000 USD (base salary)
Tools
Python, numpy, pandas, scipy, statsmodels, SQL, NoSQL, Plotly/Dash
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