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- Tasks: Enhance data systems and maintain robust data pipelines for options market making.
- Company: Leading proprietary trading firm in London with a focus on innovation.
- Benefits: Competitive compensation and a collaborative work environment.
- Other info: Great opportunity for growth in a fast-paced industry.
- Why this job: Join a dynamic team and make an impact in the finance world.
- Qualifications: Strong Python skills, SQL experience, and interest in trading.
The predicted salary is between 60000 - 80000 £ per year.
A market-leading proprietary trading firm in London is seeking a Python Developer to join their Data & Analytics Team focused on options market making. You will work alongside traders and developers to enhance data systems and maintain robust data pipelines.
The ideal candidate has strong Python skills, experience with SQL, and an interest in trading and finance. This role offers competitive compensation and a collaborative work environment.
Python Developer - Data & Analytics in Options Market Making employer: Maven Securities
Contact Detail:
Maven Securities Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer - Data & Analytics in Options Market Making
✨Tip Number 1
Network like a pro! Reach out to folks in the trading and finance space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Build a small project or contribute to open-source related to data analytics or trading. It’s a great way to demonstrate your Python prowess and passion for the field.
✨Tip Number 3
Prepare for those interviews! Brush up on your SQL and Python knowledge, and be ready to discuss how you can enhance data systems. Practice common technical questions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes the process smoother for everyone involved.
We think you need these skills to ace Python Developer - Data & Analytics in 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 used Python in real-world projects, especially in data systems or analytics. Don't hold back on showcasing any relevant experience!
SQL is Key: Since SQL is a big part of this role, include any experience you have with it in your application. We love seeing how you've managed databases or worked with data queries, so give us the details!
Express Your Interest in Trading and Finance: Let us know why you're passionate about trading and finance! A genuine interest can set you apart from other candidates. Share any relevant experiences or projects that reflect your enthusiasm for the industry.
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 platform!
How to prepare for a job interview at Maven Securities
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be prepared to discuss your previous projects and how you've used Python to solve real-world problems, especially in data handling and analytics.
✨SQL Skills Are Key
Since SQL is a crucial part of the role, practice writing queries and understanding database structures. You might be asked to demonstrate your SQL knowledge, so having some examples ready can really set you apart.
✨Understand the Trading Landscape
Familiarise yourself with options market making and trading concepts. Showing that you have a genuine interest in finance and trading will impress the interviewers and demonstrate that you're not just a techie but also understand the business side.
✨Collaborative Mindset
This role involves working closely with traders and other developers, so be ready to discuss your teamwork experiences. Highlight any past collaborations and how you contributed to achieving common goals, as this will show you’re a great fit for their collaborative environment.