What are the responsibilities and job description for the Python Developer - Data & Analytics Team - Options Market Making position at Maven Securities?
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
What We Can Offer You
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
- 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
What We Can Offer You
- Competitive compensation
- Annual discretionary bonus
- 25 days’ annual leave
- Informal dress code
- Private healthcare
- Monthly company events
- Private Gym