Quantitative Software Engineer, Energy & Commodities

DV Trading; New York (NY); In loco; USD 160.000 - 190.000; Tempo pieno

Vantaggi offerti da questo lavoro

Discretionary bonus eligibility

Medical, dental, vision insurance

HSA, FSA, Dependent Care

Employer Paid Life/AD&D insurance

Voluntary LTD, Life & AD&D

Flexible Vacation policy

Retirement plan with company match

Descrizione del lavoro

DV Trading is seeking a Quantitative Software Engineer to join the DV Commodities team in New York. You will build production-grade quant tools, models, and analytics in close collaboration with traders and quants, turning ideas into robust, scalable solutions.

You will design data pipelines, develop energy-market models, and create visualization dashboards to provide timely market and PnL insights. A strong Python background and experience with large data sets are required.

Competenze

• Bachelor’s degree or higher in CS, Engineering, Mathematics, Statistics, Physics or another quantitative discipline.
• 2+ years professional experience building quantitative trading tools, models, or analytics in a financial or commodities setting.
• Strong Python skills in a scientific computing environment (numpy, pandas, scipy, statsmodels or similar).
• Solid grounding in statistics, time series analysis, and data modeling; machine learning experience is a plus.
• Experience building data pipelines and working with large data sets.
• Experience with SQL, NoSQL or tick databases.
• Experience with data visualization and dashboarding tools (Plotly/Dash, Streamlit, Grafana).
• Strong knowledge of algorithms, design patterns, and OOP; Java or C++ is a plus.
• Experience in Unix environment and git.
• Familiarity with Kafka, Docker, Airflow, or Luigi.
• Strong communication in English; energy markets knowledge a plus.

Mansioni

• Work alongside traders, quants and engineers to build quant trading tools, including signal research, backtesting frameworks, and strategy monitoring.
• Develop and productionize fundamental models for energy markets, such as supply/demand balances, inventory and flow analysis, and curve and spread models.
• Build analytics and visualization tools giving traders clear, timely views of markets, positions, and PnL drivers.
• Design data pipelines that ingest, clean and store market, fundamental, and alternative data from internal and third-party sources.
• Create efficient storage and access schemes for time series, reference, and fundamental data.
• Integrate models and tools with our event-based risk, market data and pricing platform.
• Test, monitor and document models and tools, and iterate quickly based on trader feedback.

Conoscenze

Python

Statistics & time series

Data pipelines

SQL/NoSQL

Data visualization

Algorithms & OOP

Unix & Git

Kafka/Docker/Airflow/Luigi

English communication

Energy markets knowledge

Formazione

Bachelor’s degree or higher in CS/Engineering/Math/Statistics/Physics

Strumenti

Plotly/Dash

Streamlit

Grafana

Kafka

Docker

Airflow

Luigi

Descrizione del lavoro

DV Trading is seeking a Quantitative Software Engineer to join the DV Commodities team in New York. You will build production-grade quant tools, models, and analytics in close collaboration with traders and quants, turning ideas into robust, scalable solutions.

You will design data pipelines, develop energy-market models, and create visualization dashboards to provide timely market and PnL insights. A strong Python background and experience with large data sets are required.