Quantitative Software Engineer – Commodities Trading Tools

DV Trading; Greater London; Presencial; GBP 90 000 - 125 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Discretionary bonus eligibility

Medical, dental, and vision insurance

HSA, FSA, and Dependent Care Options

Employer Paid Group Term Life and AD&D

Voluntary LTD, Life & AD&D insurance

Flexible Vacation policy

Retirement plan with employer match

Resumo da oferta

DV Trading, London-based equities and commodities firm, is seeking a Quantitative Software Engineer to join DV Commodities. You will work with traders and quants to turn ideas into production-grade trading tools, models, and analytics.

The role emphasizes strong Python, data pipelines, time series, and collaboration across teams; experience with energy markets and distributed systems is a plus. This position offers a fast-paced environment in central London with competitive compensation.

Qualificações

• 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
• 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 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

Responsabilidades

• 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

Conhecimentos

Python

Data pipelines

Time series

SQL/NoSQL

Plotly/Dash

Unix/Git

C++/Java

English communication

Energy markets knowledge

Formação académica

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

Ferramentas

Plotly

Dash

Streamlit

Grafana

Kafka

Docker

Airflow

Luigi

Git

Descrição da oferta de emprego

DV Trading, London-based equities and commodities firm, is seeking a Quantitative Software Engineer to join DV Commodities. You will work with traders and quants to turn ideas into production-grade trading tools, models, and analytics.

The role emphasizes strong Python, data pipelines, time series, and collaboration across teams; experience with energy markets and distributed systems is a plus. This position offers a fast-paced environment in central London with competitive compensation.