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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 pay, remote work, and contract flexibility.
- Why this job: Join a cutting-edge team and shape the future of finance with AI.
- Qualifications: 5+ years in software engineering, 4+ years in Python, and financial market exposure.
- Other info: Initial 3-month contract with potential for extension.
The predicted salary is between 39000 - 45000 £ 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.
- 5-8 years of experience in commercial software engineering
- 4+ years in Python developing enterprise production-grade applications/systems
- Apache Airflow and ETL pipeline experience
- Ideally some exposure to financial markets (bonds/equities)
- Strong understanding of data structures and modern data architecture
- Computer science degree or similar
This is a £390 PAYE / £450 umbrella role, based in London initially for 3 months. Remote.
Python Engineer – Financial Services (remote, contract, c. 5 years exp) employer: Alexander Ash Consulting
Contact Detail:
Alexander Ash Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Engineer – Financial Services (remote, contract, c. 5 years exp)
✨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. Sometimes, it's all about who you know, so don't be shy!
✨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.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python knowledge and understanding of data structures. Practice coding challenges that focus on real-world applications, especially in finance, to impress your interviewers.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills and experience. Plus, we’re always on the lookout for talented individuals like you to join our community.
We think you need these skills to ace Python Engineer – Financial Services (remote, contract, c. 5 years exp)
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 working in financial services and how your background makes you a perfect fit for our team. Keep it concise but impactful!
Showcase Relevant 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 AI models or financial markets.
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
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially around enterprise-grade applications. Be ready to discuss your past projects and how you've used Python to solve complex problems, particularly in financial services.
✨Familiarise Yourself with Financial Markets
Since the role involves working with financial data, it’s crucial to have a solid understanding of bonds and equities. Do some research on current trends in the financial markets and be prepared to discuss how they might impact your work.
✨Showcase Your Data Pipeline Experience
Be ready to talk about your experience with Apache Airflow and ETL pipelines. Prepare specific examples of how you've built or optimised data pipelines in previous roles, as this will demonstrate your hands-on expertise.
✨Prepare Questions for Them
Interviews are a two-way street! Think of insightful questions to ask about their AI deployment plans and how your role fits into that vision. This shows your genuine interest in the company and the position.