MS
Maven Securities
Data Engineer

Python Developer - Data & Analytics Team - Options Market Making

On-siteSeniorData Engineerposted 6d ago
Role summaryAI-generated

This role demands expertise in building high-throughput, low-latency data pipelines to process terabytes of derivatives market data while collaborating with quant researchers and traders to refine pricing algorithms and execution strategies. The ideal candidate will bridge Python-based analytics with real-time trading systems, ensuring accuracy and reliability in high-frequency market-making environments.

Skills required

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 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
  • Experience using AI-powered tools to improve efficiency and workflows.

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

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