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Python Developer - Data & Analytics Team - Market Making

Job in London, Greater London, W1B, England, UK
Listing for: Maven Securities
Full Time, Seasonal/Temporary position
Listed on 2026-02-17
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Job Description & How to Apply Below
Position: Python Developer - Data & Analytics Team - Options Market Making

Overview

Python Developer - Data & Analytics Team - Options Market Making at Maven Securities.

Join to apply for the Python Developer - Data & Analytics Team - Options Market Making role at Maven Securities
.

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.

Responsibilities
  • Work alongside traders, quant researchers and other developers to design and build reliable, timely and accurate data and analytics for trading and research teams.
  • Develop and maintain data pipelines that handle terabytes of exchange traffic, performing transformations in real-time.
  • Support analysis ranging from nanosecond-level investigations on low-latency trading systems to research on pricing algorithms and trading strategies.
Qualifications
  • 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
  • Handling large data sets and time series data
  • Data engineering best practices for both batch and streaming data pipelines
  • Knowledge of data serialization formats, messaging middleware, data lakehouse technologies
  • Containerisation and orchestration techniques (Docker, Kubernetes)
  • Modern C++ programming
  • Front end development with React and Type Script
  • Knowledge of financial markets and securities, especially equities and options
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
Job Details
  • Seniority level:
    Associate
  • Employment type:

    Full-time
  • Job function:
    Information Technology and Engineering
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