At a Glance
- Tasks: Develop AI-enabled tools and scalable solutions for a leading investment bank.
- Company: Top-tier investment bank with a high-performing Quantitative Technology team.
- Benefits: Competitive day rate, hybrid working model, and collaborative environment.
- Other info: Initial 6-month contract with opportunities for growth in a fast-paced environment.
- Why this job: Join a dynamic team and shape the future of software delivery in finance.
- Qualifications: Strong Python skills, AI tool experience, and knowledge of investment banking.
The predicted salary is between 60000 - 80000 £ per year.
DW Search is partnering with a leading financial services organisation looking for a Senior Python Developer to join a high-performing Quantitative Technology team on an initial 6-month contract.
This role will focus on building AI-enabled developer tooling and scalable engineering solutions that improve software delivery across a global technology organisation. You will work closely with engineering teams to design intelligent automation, enhance development workflows, and support large-scale AI adoption initiatives across front office technology functions.
What You’ll Be Doing
- Develop tools to rapidly prototype solutions and generate automated test cases, reducing delivery timelines for feature development
- Evaluate and integrate emerging AI development tools and establish best practices for AI-assisted engineering
- Design and build scalable solutions from technical and functional specifications
- Deliver robust, maintainable, and production-ready software within defined delivery schedules
- Collaborate within Agile teams and contribute actively to ceremonies and technical discussions
- Share knowledge and support continuous improvement across the engineering function
What We’re Looking For
- Strong Python development experience
- Excellent prompt engineering capabilities
- Hands-on experience with AI coding tools
- Strong understanding of modern software engineering best practices
- Experience with event-driven systems and messaging technologies such as Kafka or Solace
- Experience in Investment Banking front office environments
- Fast learner with strong problem-solving and communication skills
Contract Details
- Initial 6-month contract
- Hybrid working model
- 4 days onsite per week
- Competitive day rate
Senior Python Developer in London employer: DW Search
As a Senior Python Developer at our top-tier investment bank, you will thrive in a dynamic and collaborative environment that champions innovation and excellence. Our hybrid working model allows for flexibility while maintaining a strong onsite presence, fostering teamwork and knowledge sharing. With a focus on cutting-edge AI technologies and continuous professional development, we offer a unique opportunity to grow your skills and make a significant impact within the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Developer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend meetups or webinars related to Python development and AI tools. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving AI and automation. Share it on platforms like GitHub and make sure it's easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your experience with event-driven systems and messaging technologies like Kafka.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that match your skills. Plus, applying directly can sometimes give you an edge over other candidates. Don’t miss out!
We think you need these skills to ace Senior Python Developer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Python Developer role. Highlight your Python experience and any relevant projects, especially those involving AI tools or scalable solutions. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for our Quantitative Technology team. Share specific examples of your work with AI development tools and how you've improved software delivery in the past.
Showcase Your Problem-Solving Skills:In your application, don’t forget to mention your problem-solving abilities. We love candidates who can think on their feet and tackle challenges head-on, especially in fast-paced environments like investment banking.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at DW Search
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your past projects and how you've used Python to solve complex problems, especially in a financial context. They’ll want to see your coding prowess, so practice some coding challenges to keep your skills sharp.
✨Familiarise Yourself with AI Tools
Since the role involves AI-enabled developer tooling, it’s crucial to understand the latest AI coding tools and how they can enhance software delivery. Research common tools used in the industry and be prepared to discuss how you’ve integrated them into your workflow or how you would approach doing so.
✨Understand Agile Methodologies
This position requires collaboration within Agile teams, so make sure you’re well-versed in Agile principles. Be ready to share examples of how you’ve contributed to Agile ceremonies and how you’ve worked with teams to improve processes. This shows you’re not just a coder but a team player too.
✨Prepare for Technical Discussions
Expect to dive deep into technical discussions during the interview. Brush up on event-driven systems and messaging technologies like Kafka or Solace, as these are key components of the role. Prepare to explain your thought process and problem-solving strategies clearly, as communication is just as important as technical skills.
