At a Glance
- Tasks: Build enterprise-grade systems and data pipelines using Python for financial services.
- Company: Dynamic financial markets firm focused on AI and innovation.
- Benefits: Competitive daily rate, largely remote work, and potential for extension.
- Other info: Exciting opportunity to work on impactful projects in a collaborative environment.
- Why this job: Join a cutting-edge team and shape the future of finance with AI.
- Qualifications: 5-10 years in software engineering, 4+ years in Python, and a computer science degree.
The predicted salary is between 90000 - 110000 £ per year.
A financial markets firm are looking for experienced Python developers to help contribute to foundational data and systems work as part of their future deployment of AI models within the firm. You will work across a portfolio of middle and back-office systems projects, building enterprise-grade production systems and data pipelines, principally in Python.
- 5-10 years of experience in commercial software engineering
- 4+ years in Python developing enterprise production-grade applications/systems
- Strong understanding of data structures and modern data architecture
- Basic understanding of financial products and trade flows in a markets context
- Computer science degree or similar
This is a £450-550/day role, based in London, initially for six months. Largely remote.
Python Developer employer: Alexander Ash Consulting
As a leading higher education institution, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our commitment to employee growth is evident through tailored professional development opportunities and a supportive environment that encourages creativity in driving digital transformation. Join us in shaping the future of education while enjoying the unique advantages of working in a vibrant academic community.
StudySmarter Expert Advice🤫
We think this is how you could land Python Developer
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector and let them know you're on the lookout for Python developer roles. Sometimes, it's all about who you know, and a friendly nudge can lead to great opportunities.
✨Tip Number 2
Show off your skills! Create a GitHub profile or personal website showcasing your Python projects, especially those related to data pipelines or financial systems. 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 knowledge of data structures and modern data architecture. Be ready to discuss how you've applied these concepts in your previous roles, especially in the context of enterprise production-grade applications.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of exciting opportunities that match your skills. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Python Developer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and any relevant financial services projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about Python development and how your background fits into our vision at StudySmarter. Keep it concise but impactful!
Showcase Your Projects:If you've worked on any enterprise-grade applications or data pipelines, make sure to mention them. We love seeing real-world examples of your work, especially if they relate to financial markets or AI models.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Alexander Ash Consulting
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with enterprise-grade applications and data pipelines, as well as any specific projects you've worked on that showcase your expertise.
✨Understand Financial Products
Since this role is in financial services, having a basic understanding of financial products and trade flows will give you an edge. Do some research on common financial instruments and how they operate within markets to impress your interviewers.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle technical questions or coding challenges during the interview. Practice solving problems related to data structures and modern data architecture, as these are crucial for the role. Use platforms like LeetCode or HackerRank to sharpen your skills.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects, the technologies they use, and how they plan to integrate AI models. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
