Python Developer - Data & Analytics Team - Options Market Making

Skills this role screens for

About the 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 are relentlessly focused on improving liquidity across global listed derivatives. Through advanced execution and pricing technologies, we improve how financial markets operate.

You will work alongside traders, quant researchers and other developers to help us design and build reliable, timely and accurate data and analytics to our trading and research teams. Our data pipelines handle terabytes of exchange traffic, performing numerous transformations in real-time. We perform analysis ranging from nanosecond-level investigations on low-latency trading systems to research on pricing algorithms and trading strategies.

The work

The Skills you will have

• 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

Who they want

IDEAL EXPERIENCE WOULD INCLUDE

We pride ourselves on being able to rapidly deliver well-engineered software into production. You will be able to see the impact of your work immediately and will be in a unique position to have a direct impact on trading revenue. We make extensive use of automated testing and peer code review to ensure quality and maintainability while keeping time-to-market short.

• Handling large data sets and time series data
• Data engineering best practices for both batch and streaming data pipelines
• Knowledge of data serialisation formats, messaging middleware, data lakehouse technologies etc
• Containerisation and orchestration techniques (Docker, Kubernetes)
• Modern C++ programming
• Front end development with React and Typescript
• Knowledge of financial markets & securities, especially equities and options
• Experience using AI-powered tools to improve efficiency and workflows.

Also

WHAT WE CAN OFFER YOU

• Competitive compensation
• Group Pension plan
• Annual discretionary bonus
• Fully catered breakfast, lunch and snacks.
• 25 days’ annual leave
• Informal dress code
• Private healthcare and life assurance
• Cycle-to-work scheme
• Monthly company events
• Private Gym