At a Glance
- Tasks: Join a dynamic team to enhance an innovative ETF trading platform using Python.
- Company: Leading financial firm aiming to revolutionise the European ETF market.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting career prospects in a fast-paced, collaborative environment.
- Why this job: Be part of a cutting-edge project that shapes the future of trading technology.
- Qualifications: Experience in Python development and a strong analytical mindset are essential.
The predicted salary is between 60000 - 80000 £ per year.
As part of its ambition to become a Top 3 contributor in the European ETF market, our client is continuously improving its ETF Market Making platform to better serve its clients. To this end, there is an investment in its London AMM ETF platform to bring it to the next level of Automated client RFQ Pricing.
Key Responsibilities:
- Delivery of state of the art electronic trading platform for ETF business
- Global implementation with view on regional business specificities
- Build expertise on the AMM ETF trading platform opening new opportunities for following projects on the long term
- Deliver in production on EU/US and World/Emerging perimeters
- Enhance day-to-day Board support tools for maintaining Edge universe of EU/US universes
- Deliver in production remaining universe
- Production robustness assessment and switch off
- Analysis of the current workflow of the ETF Blotter: ETF Portal/Power connectivity, booking workflow, validation chain
- Design and implementation of the Edge Board ETF Blotter
- Parallel run of the Edge Board ETF Blotter in testing environment
- Develop the ETF team capabilities, such as: Board production monitoring tools development
- Support of existing applications and bug fixing of Board tasks and checks
- Participate in the desk short development cycle for trading tools requirements
Qualifications:
- Critical to have experience in Front Office Trading production projects management
- Critical to have strong IT development background: Python development, SQL scripting, Client-Server architecture concepts, Linux/Windows commands (C++ knowledge would be a plus but is not required)
- Essential to have a first class Masters Degree from a top university ideally in Computer Science/IT or alternatively scientific background
- Essential to be a self-learner and have strong analytical skills
- High motivation to learn in a huge and complex environment
- French speaker required as interactions with the Paris team will happen on a daily basis
Python Developer in London employer: Talan
At Talan Data x AI, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration across our UK offices in London, Edinburgh, Manchester, Leeds, and Birmingham. Our commitment to employee growth is evident through our comprehensive benefits package, including a unique reward programme for sabbaticals, generous holiday allowances, and bespoke online learning opportunities, ensuring that our team members not only excel in their roles but also thrive personally and professionally in the fast-evolving field of data science and AI.
StudySmarter Expert Advice🤫
We think this is how you could land Python Developer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in ETF trading or Python development. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Python projects or any relevant work. This gives potential employers a sneak peek into your coding style and problem-solving abilities.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and understanding of the ETF market. Practice common coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are eager to join us. It shows initiative and helps us get to know you better.
We think you need these skills to ace Python Developer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Python Developer role. Highlight your experience with Front Office Trading projects and any relevant skills in Python, SQL, and client-server architecture. We want to see how your background fits with our ambitions!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the ETF market and how your skills can contribute to our goals. Keep it concise but impactful – we love a good story!
Show Off Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's a personal project or something from your previous job, showcasing your hands-on experience with Python and trading tools will definitely catch our eye.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Talan
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your previous projects and how you've used Python in real-world applications, especially in trading or financial contexts.
✨Understand the ETF Market
Familiarise yourself with the basics of ETFs and how they function within the trading ecosystem. Being able to speak knowledgeably about the ETF market will show your genuine interest and understanding of the role.
✨Prepare for Technical Questions
Expect technical questions related to SQL scripting, client-server architecture, and possibly some Linux commands. Practise coding challenges or problems that might come up during the interview to demonstrate your problem-solving skills.
✨Show Your Analytical Skills
Be prepared to discuss how you approach complex problems and your methods for analysis. Share examples from your past experiences where your analytical skills made a difference, especially in a fast-paced environment like trading.
