Quantitative Software Engineer (DV Commodities)

About Us:

DV Trading LLC is a proprietary trading firm with over 200 employees trading equities fixed income FX and commodity products. DV Commodities is a rapidly growing division that specializes in trading crude oil refined products natural gas and other commodities across US European and Asian markets. Our combined risk management world class technology and human capital have enabled us to become one of the largest liquidity providers within the global energy complex.

Overview:

DV is looking for a software engineer with a quantitative mindset to join a small team building the tools that power our commodities trading. You will work directly with traders and quants to turn ideas into production-grade quant trading tools fundamental analysis models and analytics and you will own them from prototype through daily use.

Job Responsibilities:

Work alongside traders quants and other 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 that give 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

Requirements:

Bachelors 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 (e.g. Plotly/Dash Streamlit Grafana)

Strong knowledge of algorithms design patterns and OOP; Java or C is a plus

Experience working in a Unix environment and git

Familiarity with Kafka Docker Airflow or Luigi

Strong communication skills in verbal and written English with the ability to work closely with traders

Domain knowledge in energy markets futures and swaps 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
• Voluntary LTD Life & AD&D insurance
• Flexible Vacation policy
• Retirement plan with employer match

DV is not accepting unsolicited resumes from search firms. Only search firms with valid written agreements with DV should submit resumes in response to DVs posted positions. All resumes submitted by search firms to DV via e-mail the Internet personal delivery facsimile or any other method without a valid written agreement shall be deemed the sole property of DV and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.