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- Tasks: Develop and enhance data systems for trading and analytics in a fast-paced environment.
- Company: Join a leading proprietary trading firm with a focus on innovation and collaboration.
- Benefits: Competitive pay, pension plan, private healthcare, and generous leave.
- Why this job: Make an immediate impact on trading revenue while working with cutting-edge technology.
- Qualifications: Strong Python and SQL skills, with a passion for finance and problem-solving.
- Other info: Enjoy a dynamic workplace with monthly events and a private gym.
The predicted salary is between 36000 - 60000 £ per year.
Python Developer – Data & Analytics Team – Options Market Making
2 days ago Be among the first 25 applicants
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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 for 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
London, England, United Kingdom
#J-18808-Ljbffr
Python Developer - Data & Analytics Team - Options Market Making employer: Agile Change Management Limited
Contact Detail:
Agile Change Management Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer - Data & Analytics Team - Options Market Making
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Maven. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your Python skills—show them! Create a GitHub portfolio with projects that highlight your experience with data pipelines or trading algorithms. This gives us a real taste of what you can do!
✨Ace the Interview
Prepare for technical interviews by brushing up on your SQL and Python knowledge. Practice coding challenges and be ready to discuss your past projects. We love seeing how you think and solve problems!
✨Apply Through Our Website
Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you're genuinely interested in joining our team.
We think you need these skills to ace Python Developer - Data & Analytics Team - Options Market Making
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've designed, developed, and deployed robust systems. Share specific examples that demonstrate your experience and creativity in solving problems.
SQL is Key: Don’t forget to mention your experience with SQL and modern database technologies. We love seeing how you’ve handled large datasets and time series data, so include any relevant projects or challenges you've tackled.
Communicate Clearly: Strong business communication skills are a must! When writing your application, be clear and concise. We appreciate candidates who can present information effectively, so make sure your application reflects that.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out on the chance to join our team!
How to prepare for a job interview at Agile Change Management Limited
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with designing, developing, and deploying complex systems. They’ll likely ask you to solve coding problems on the spot, so practice common algorithms and data structures.
✨Get Familiar with SQL and Databases
Since this role involves working with large data sets, it’s crucial to have a solid understanding of SQL and modern database technologies. Prepare to talk about your past experiences with databases and how you've optimised queries or handled data efficiently.
✨Show Your Enthusiasm for Finance
Demonstrate your interest in trading and finance during the interview. Research the company’s market-making strategies and be prepared to discuss how your skills can contribute to their goals. Showing genuine enthusiasm can set you apart from other candidates.
✨Prepare for Technical Questions
Expect technical questions related to data engineering best practices, containerisation, and orchestration techniques. Brush up on your knowledge of Docker and Kubernetes, and be ready to explain how you’ve used these technologies in past projects.
