Python Developer - Data & Analytics Team - Options Market Making

Maven; City Of London; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading trading firm in London is seeking a Python Developer for their Data & Analytics Team. In this role, you will design and develop robust data systems supporting trading and research. Your expertise in Python, SQL, and data engineering will drive meaningful results in real-time financial markets. Competitive compensation and excellent perks await the ideal candidate, including private healthcare and catered meals.

Benefits

Competitive compensation

Annual discretionary bonus

Fully catered meals

25 days’ annual leave

Private healthcare and life assurance

Monthly company events

Private Gym

Qualifications

• Significant experience designing, developing, and deploying production systems.
• Ability to handle large data sets and time series data.
• Knowledge of financial markets, especially equities and options.

Responsibilities

• Design and build data and analytics for trading and research teams.
• Handle terabytes of exchange traffic in real-time.
• Collaborate with traders and researchers.

Skills

Excellent Python skills

Solid experience with SQL and modern database technologies

Very strong business communication skills

Enthusiasm to rapidly learn new technologies

Attention to detail

Problem-solving ability

Interest in trading and finance

Tools

Docker

Kubernetes

React

Typescript

C++

Job description

Python Developer - Data & Analytics Team - Options Market Making

London

Python Developer - Data & Analytics Team - Options Market Making

Maven is a market-leading proprietary trading firm allocating internal capital across discretionary, systematic, and market-making strategies. Our collective expertise spans traders, engineers, and technologists, unified by an unwavering dedication to enhance our efficiency as a premier liquidity provider for globally listed derivatives. Our engineering teams design and build groundbreaking execution, pricing, and data systems that elevate and 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
• Annual discretionary bonus
• Fully catered breakfast, lunch and snacks.
• 25 days’ annual leave
• Informal dress code
• Private healthcare and life assurance
• Monthly company events
• Private Gym