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About the Role
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.
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
- 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 (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
Skills
- Python
- numpy
- pandas
- scipy
- statsmodels
- statistics
- time series analysis
- data modeling
- machine learning
- data pipelines
- SQL
- NoSQL
- tick databases
- data visualization
- dashboarding tools
- Plotly/Dash
- Streamlit
- Grafana
- algorithms
- design patterns
- OOP
- Java
- C++
- Unix
- git
- Kafka
- Docker
- Airflow
- Luigi
- communication skills
- energy markets
- futures
- swaps
Experience Level
- 2+ years professional experience
Education Level
- Bachelor’s degree or higher in CS, Engineering, Mathematics, Statistics, Physics or another quantitative discipline
Salary/Compensations
- $160,000—$190,000 USD
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
About the Company
- 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.
Equal Opportunity
- DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.