Python Developer - Data & Analytics - Options Market Making

1w1 week ago

Maven Securities

London, GB · Full-time · £85,000 – £130,000

About this role

Maven is a market-leading proprietary trading firm deploying its own capital across discretionary, systematic, and market-making strategies. Backed by deep expertise in trading, technology, and research, we relentlessly focus on improving liquidity across global listed derivatives through advanced execution and pricing technologies. You will work alongside traders, quant researchers and other developers.

You will design and build reliable, timely and accurate data and analytics for trading and research teams. Data pipelines handle terabytes of exchange traffic, performing numerous transformations in real-time. Analysis ranges from nanosecond-level investigations on low-latency trading systems to research on pricing algorithms and trading strategies.

We pride ourselves on rapidly delivering well-engineered software into production. You will see the impact of your work immediately and directly influence trading revenue. Extensive use of automated testing and peer code review ensures quality and maintainability while keeping time-to-market short.

Join a team focused on cutting-edge data engineering in a high-stakes trading environment. Gain exposure to terabyte-scale data processing and real-time analytics in options market making. Contribute to improving how financial markets operate through innovative technologies.

Requirements

Excellent Python skills, with significant experience designing, developing, testing, and deploying complex and robust production systems
Solid experience with SQL and modern database technologies
Very strong business communication skills and the ability to present information clearly and concisely
Enthusiasm to rapidly learn new technologies and skills
An efficient and diligent approach with a strong attention to detail
The ability to solve new and unfamiliar problems quickly and creatively
An interest in trading and finance
Handling large data sets and time series data

Responsibilities

Design and build reliable, timely and accurate data and analytics for trading and research teams
Develop data pipelines handling terabytes of exchange traffic with real-time transformations
Perform nanosecond-level investigations on low-latency trading systems
Conduct research on pricing algorithms and trading strategies
Deploy well-engineered software into production rapidly
Apply automated testing and peer code review to ensure quality and maintainability
Improve liquidity across global listed derivatives through advanced data technologies