Python Developer - Data & Analytics Team - Options Market Making

Maven - Trading and Portfolio Management; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Competitive compensation

Group Pension plan

Annual discretionary bonus

Fully catered breakfast, lunch and sn”

25 days’ annual leave

Informal dress code

Private healthcare and life assurance

Cycle-to-work scheme

Monthly company events

Private Gym

Job summary

Maven - Trading and Portfolio Management 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.

Qualifications

• Proficient Python in production-grade systems
• Strong SQL and DB tech experience
• Clear concise business communication skills
• Quick learner with enthusiasm for new tech
• Meticulous and detail-oriented
• Able to solve new problems creatively
• Interest in trading and finance

Responsibilities

• Collaborate with traders and researchers to design data analytics
• Build and maintain real-time and batch data pipelines for terabytes of data
• Deliver robust, well-tested software in production with automation

Skills

Python development

SQL and databases

Business communication

Learning new tech

Attention to detail

Creative problem solving

Trading & finance interest

Tools

Docker

Kubernetes

React

TypeScript

C++

Job description

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