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- Tasks: Build enterprise-grade systems and data pipelines using Python for financial markets.
- Company: Dynamic financial markets firm focused on AI deployment.
- Benefits: Competitive daily rate, remote work, and potential for contract extension.
- Why this job: Join a cutting-edge team and shape the future of finance with AI.
- Qualifications: 5+ years in software engineering, 3+ years in Python, and a computer science degree.
- Other info: Opportunity to work on impactful projects in a fast-paced environment.
The predicted salary is between 95000 - 100000 £ 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+ years of experience in commercial software engineering
- 3+ 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 (preferred)
- Some experience with UI development is beneficial (not required)
- Computer science degree or similar
This is a £420-460/day PAYE role (cf. £550 umbrella or £95,000 - £100,000 equivalent annual earnings), based London initial for six months. Remote.
Python Engineer Financial Services (Contract, Remote) employer: Alexander Ash Consulting Limited
Contact Detail:
Alexander Ash Consulting Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Engineer Financial Services (Contract, Remote)
✨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 Engineer roles. A personal recommendation can go a long way in landing that interview.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those related to data pipelines or financial applications. This gives potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for technical interviews by brushing up on your data structures and algorithms. Since you'll be working on enterprise-grade systems, being able to discuss your thought process and problem-solving skills is crucial.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by hiring managers who are looking for talent like yours.
We think you need these skills to ace Python Engineer Financial Services (Contract, Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python experience and any relevant financial services projects. We want to see how your skills match the job description, 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 the perfect fit for this role. We love seeing enthusiasm for both Python and the financial sector, so let that passion come through.
Showcase Your Projects: If you've worked on any enterprise-grade applications or data pipelines, make sure to mention them. We’re keen to see examples of your work, especially if they relate to AI models or financial systems.
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 from our team!
How to prepare for a job interview at Alexander Ash Consulting Limited
✨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
While not mandatory, having a basic understanding of financial products and trade flows can set you apart. Do some research on common financial instruments and how they operate within markets to show your interest and readiness for the role.
✨Prepare for Technical Questions
Expect technical questions that assess your knowledge of data structures and modern data architecture. Practise coding challenges or system design questions that might come up during the interview to demonstrate your problem-solving skills.
✨Showcase Your UI Development Experience
If you have any experience with UI development, even if it's minimal, be sure to mention it. Highlighting this can show your versatility and willingness to contribute to different aspects of the projects you'll be working on.
