Quantitative Trading Software Engineer – Energy Markets

DV Trading LLC; Greater London; On-site; GBP 70,000 - 120,000; Full time

Benefits offered by this job

Discretionary bonus

Medical, dental, and vision insurance

HSA/FSA options

Life/AD&D insurance

Job summary

DV Trading LLC is seeking 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.

The role involves developing and productionizing energy-market models, building robust data pipelines, and delivering clear visualizations to

Qualifications

• Bachelor's degree or higher in a quantitative discipline.
• 2+ years experience building quantitative trading tools, models, or analytics.
• Strong Python in a scientific computing environment (numpy, pandas, scipy, statsmodels).
• Solid grounding in statistics, time series analysis, and data modeling.
• Experience building data pipelines and working with large data sets.
• Experience with SQL, NoSQL or tick databases.
• Experience with data visualization and dashboards (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 skills in verbal and written English.
• Domain knowledge in energy markets is a plus.

Responsibilities

• Collaborate with traders, quants and engineers to build quant trading tools, backtesting, and strategy monitoring.
• Develop and productionize fundamental models for energy markets (supply/demand, inventory, flow analyses).
• Build analytics and visualization tools for traders to view markets, positions and PnL drivers.
• Design data pipelines ingesting and cleansing market, fundamental and external data.
• Create efficient storage/access for time series and reference data.
• Integrate models/tools with risk, market data and pricing platforms.
• Test, monitor and document models; iterate based on trader feedback.

Skills

Python (NumPy/SciPy)

Statistics

Time series analysis

Data visualization

Algorithms & OOP

Unix & Git

Communication in English

Education

Bachelor's degree or higher in CS/Engineering/Math/Stats/Physics

Tools

Plotly/Dash

Streamlit

Grafana

Kafka

Docker

Airflow or Luigi

Job description

DV Trading LLC is seeking 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.

The role involves developing and productionizing energy-market models, building robust data pipelines, and delivering clear visualizations to