At a Glance
- Tasks: Design and build data systems for trading and research teams using Python.
- Company: Leading proprietary trading firm focused on innovative market strategies.
- Benefits: Competitive pay, annual bonus, catered meals, and private healthcare.
- Other info: Dynamic team environment with opportunities for rapid learning and growth.
- Why this job: Make a real impact on trading revenue with your software solutions.
- Qualifications: Strong Python and SQL skills, with a passion for finance and data.
The predicted salary is between 50000 - 70000 £ per year.
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.
- 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.
Python Developer - Data & Analytics Team - Options Market Making in London employer: Maven
Maven is an exceptional employer that values the contributions of its staff, offering a supportive work culture and opportunities for professional growth. With competitive benefits such as a salary of £39,500 per annum, 25 days of annual leave, and the flexibility of hybrid working, employees can enjoy a balanced work-life dynamic while making a meaningful impact in the community.
StudySmarter Expert Advice🤫
We think this is how you could land Python Developer - Data & Analytics Team - Options Market Making in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Python projects, especially those related to data and analytics. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the financial markets. Practice coding challenges and be ready to discuss your past projects and how they relate to the role you're applying for.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Python Developer - Data & Analytics Team - Options Market Making in London
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 solid experience with SQL and modern database technologies. We love seeing how you’ve handled large data sets and time series data, so include any relevant projects or achievements that showcase your skills.
Communicate Clearly:Strong business communication skills are a must! When writing your application, present your information clearly and concisely. We appreciate candidates who can articulate their thoughts effectively, especially when it comes to complex technical topics.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Maven
✨Master Your Python Skills
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. You might even be asked to solve a coding challenge, so practice writing clean, efficient code that showcases your problem-solving abilities.
✨Know Your Data Inside Out
Since this role involves handling large data sets and time series data, be prepared to talk about your experience with SQL and modern database technologies. Familiarise yourself with data engineering best practices, as well as any relevant tools like Docker or Kubernetes, to demonstrate your technical prowess.
✨Communicate Clearly
Strong business communication skills are essential for this position. Practice explaining complex technical concepts in simple terms, as you'll need to present information clearly to traders and researchers. Think of examples where you've successfully communicated ideas or collaborated with non-technical teams.
✨Show Your Enthusiasm for Finance
This role is all about trading and finance, so make sure to express your interest in these areas during the interview. Share any relevant experiences or projects that highlight your passion for financial markets, especially equities and options. This will show that you're not just a techie, but someone who understands the industry.
