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- Tasks: Design and optimise analytics workflows on a cutting-edge SaaS platform.
- Company: Renowned FinTech Software Company with a focus on innovation.
- Benefits: Generous bonus scheme, pension benefits, and flexible hours.
- Why this job: Join a dynamic team and make an impact in the FinTech space.
- Qualifications: Mid-level Python development experience and a passion for data.
- Other info: Enjoy a hybrid work model in vibrant Central London.
The predicted salary is between 36000 - 60000 £ per year.
A well-known FinTech Software Company is seeking a Mid-Level Python Developer to design, build, and optimise analytics and data workflows on a greenfield SaaS platform. Collaborating with actuaries and data scientists, you'll enhance Python-based features, improve system integration, and champion engineering best practices.
The role offers a generous bonus scheme, pension benefits, and flexible hours, with a hybrid work model in Central London.
Python Developer – FinTech SaaS Analytics (Hybrid) in London employer: Spencer Scott - Technology Recruitment
Contact Detail:
Spencer Scott - Technology Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer – FinTech SaaS Analytics (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the FinTech space and let them know you're on the lookout for a Python Developer role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to analytics and data workflows. This will give potential employers a taste of what you can bring to their greenfield SaaS platform.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python knowledge and understanding of system integration. Practice coding challenges and be ready to discuss engineering best practices, as these are key in the FinTech world.
✨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, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Python Developer – FinTech SaaS Analytics (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python development skills and any relevant experience in FinTech or SaaS. We want to see how you can contribute to our analytics and data workflows, so don’t hold back on showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your background aligns with our mission at StudySmarter. Let us know how you can enhance our Python-based features and improve system integration.
Showcase Your Projects: If you've worked on any projects that demonstrate your Python skills, especially in analytics or data workflows, make sure to mention them. We love seeing real-world applications of your work, so include links or descriptions of your projects!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, we can't wait to hear from you!
How to prepare for a job interview at Spencer Scott - Technology Recruitment
✨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-based features and any projects you've worked on that involved analytics or data workflows. They’ll likely want to see how you approach problem-solving in Python, so prepare some examples.
✨Understand FinTech and SaaS Concepts
Familiarise yourself with the FinTech landscape and SaaS platforms. Knowing the latest trends and challenges in the industry will show that you're genuinely interested in the role and can contribute to discussions about enhancing features and system integration.
✨Collaboration is Key
Since you'll be working closely with actuaries and data scientists, think about how you can demonstrate your teamwork skills. Prepare examples of past collaborations where you successfully worked with cross-functional teams to achieve a common goal.
✨Ask Insightful Questions
Prepare thoughtful questions to ask during the interview. Inquire about their engineering best practices, the tools they use for analytics, or how they measure success in their projects. This not only shows your interest but also helps you gauge if the company is the right fit for you.
