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- Tasks: Build data pipelines and production systems using Python for AI model deployment.
- Company: Leading financial services firm with a focus on innovation.
- Benefits: Competitive pay, remote work flexibility, and contract opportunities.
- Why this job: Join a dynamic team and shape the future of financial technology.
- Qualifications: 5-8 years in software engineering, 4+ years in Python, financial market knowledge is a plus.
- Other info: Exciting contract role based in London with great career prospects.
The predicted salary is between 46800 - 78000 £ per year.
A leading financial services firm is seeking an experienced Python Engineer to contribute to foundational data and systems work as they deploy AI models. You will work across various middle and back-office projects, building production systems and data pipelines in Python.
Candidates should have 5-8 years of software engineering experience, with at least 4 years in Python. Familiarity with financial markets and strong computer science foundations are advantageous.
This is a contract role based in London with remote working opportunities, paying £390 PAYE or £450 umbrella.
Remote Python Engineer – Financial Data & Pipelines in London employer: Alexander Ash Consulting
Contact Detail:
Alexander Ash Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Python Engineer – Financial Data & Pipelines in London
✨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 opportunities. A personal recommendation can go a long way in landing that Python Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best Python projects, especially those related to data pipelines or financial systems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills. Practice common Python problems and be ready to discuss your experience with AI models and financial data. We all know how crucial it is to impress during those coding challenges!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Remote Python Engineer – Financial Data & Pipelines in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python experience and any relevant financial projects you've worked on. 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 this role and how your background makes you a perfect fit. We love seeing enthusiasm and a bit of personality!
Showcase Your Projects: If you've built any data pipelines or production systems in Python, make sure to mention them. We’re keen to see real-world applications of your skills, so include links or descriptions of your work if possible.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s quick and easy, and we can’t wait to see your application come through!
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 Python in detail, including specific projects you've worked on and challenges you've faced. Practising coding problems related to data pipelines can also give you a leg up.
✨Understand Financial Data Basics
Since this role involves financial data, it’s crucial to have a solid understanding of financial markets. Familiarise yourself with key concepts and terminology. Being able to speak intelligently about how data flows in financial systems will impress your interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled complex problems in past projects. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you clearly convey your thought process and demonstrate your ability to build robust production systems.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with questions that show your interest in the company and the role. Ask about their current projects, the tech stack they use, or how they integrate AI models into their systems. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.