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 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

Ideal Experience Would Include:

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

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.

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

SQL Database jobs

Python Developer - Data & Analytics Team - Options Market Making