At a Glance
- Tasks: Join a dynamic team to develop data pipelines and analytics for trading.
- Company: Maven Securities, a leading proprietary trading firm with a focus on innovation.
- Benefits: Competitive pay, pension plan, private healthcare, and 25 days of leave.
- Why this job: Make an impact in finance by working with cutting-edge technology and large data sets.
- Qualifications: Strong Python and SQL skills, with a passion for learning and problem-solving.
- Other info: Enjoy a casual dress code, monthly events, and excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ 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.
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 TypeScript.
- 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.
Python Developer - Data & Analytics Team - Options Market Making in London employer: Maven Securities
Contact Detail:
Maven Securities Recruiting Team
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, especially those at Maven Securities. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or portfolio, make sure it’s up to date. Share projects that highlight your Python prowess and data handling skills.
✨Tip Number 3
Prepare for the technical interview! Brush up on your Python and SQL knowledge, and be ready to tackle real-world problems. Practice coding challenges to sharpen your skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect 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 showcase your experience and creativity!
Be Clear and Concise: When writing your application, keep your communication clear and to the point. We appreciate strong business communication skills, so make it easy for us to understand your qualifications and experiences without any fluff.
Tailor Your Application: Don’t just send a generic application! Tailor it to the role by mentioning your interest in trading and finance, as well as any relevant experience with data engineering best practices. Show us why you’re a perfect fit for our Data & Analytics Team!
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 don’t miss out on any important updates. Plus, we love seeing applications come through our own platform!
How to prepare for a job interview at Maven Securities
✨Master Your Python Skills
Make sure you brush up on your Python knowledge before the interview. Be ready to discuss your experience with designing, developing, and deploying production systems. You might even be asked to solve a coding challenge, so practice writing clean and efficient code.
✨Know Your Data Pipelines
Since the role involves handling large data sets and real-time transformations, be prepared to talk about your experience with data pipelines. Familiarise yourself with data engineering best practices and be ready to discuss how you've implemented them in past projects.
✨Communicate Clearly
Strong business communication skills are essential for this role. Practice explaining complex technical concepts in simple terms. You may need to present your ideas to traders or researchers, so clarity and conciseness will be key.
✨Show Your Enthusiasm for Finance
Demonstrate your interest in trading and finance during the interview. Research Maven Securities and their market-making strategies. Being able to connect your technical skills to the financial world will show that you're not just a coder, but someone who understands the bigger picture.