At a Glance
- Tasks: Build and enhance Python-based backend services for complex trading and data workflows.
- Company: Join a high-performing global team in the financial technology sector.
- Benefits: Competitive salary up to £130,000, plus additional compensation and hybrid work options.
- Other info: Dynamic role with opportunities for growth in a fast-paced environment.
- Why this job: Make a real impact on high-stakes financial projects while collaborating with experts.
- Qualifications: Strong Python skills, SQL expertise, and experience with APIs and backend services.
The predicted salary is between 130000 - 130000 £ per year.
A high-performing global team is looking for an experienced Python Engineer to help build and enhance critical backend platforms supporting complex trading, risk and data workflows. This is a hands‑on role focused on scalable engineering, large datasets and delivering robust solutions within a fast-paced financial environment.
What you’ll be doing:
- Building and enhancing Python-based backend services and data pipelines
- Working with complex financial and trading datasets to support reporting and analytics
- Developing APIs, automation tools and scalable processing solutions
- Collaborating with technical and business stakeholders across front‑office and risk functions
What we’re looking for:
- Strong Python development experience within enterprise environments
- Excellent SQL and data processing skills, including Pandas/NumPy
- Experience building APIs and backend services using frameworks such as FastAPI, Flask or Django
- Previous exposure to trading, risk, PnL or capital markets environments
- Experience with large-scale data processing, cloud platforms or investment banking systems would be highly beneficial.
If you’re interested in working on high-impact financial technology projects within a collaborative global team, apply now or reach out for a confidential discussion.
Senior Python Engineer - Up To £130,000 P/A + Comps - London (Hybrid) employer: Hunter Bond
Join a dynamic and innovative team in London, where your expertise as a Senior Python Engineer will be valued and rewarded. With a strong focus on employee growth, we offer comprehensive benefits, a collaborative work culture, and the opportunity to work on impactful financial technology projects that shape the future of trading and risk management. Experience the unique advantage of working in a hybrid environment that promotes work-life balance while engaging with complex datasets and cutting-edge technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Engineer - Up To £130,000 P/A + Comps - London (Hybrid)
✨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 engineering and trading. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Python projects, especially those involving APIs or data processing. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and data processing skills. Practice coding challenges that focus on backend services and large datasets. We want you to feel confident when discussing your experience with complex financial systems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our high-performing global team. Let’s get you that dream job!
We think you need these skills to ace Senior Python Engineer - Up To £130,000 P/A + Comps - London (Hybrid)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Python development experience and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in building APIs and handling large datasets!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about financial technology and how your background fits with our team. We love seeing enthusiasm and a clear understanding of the role, so let your personality come through.
Showcase Relevant Experience:When filling out your application, make sure to mention any experience you have with trading, risk, or capital markets. We’re looking for candidates who can hit the ground running, so highlight any relevant projects or roles that demonstrate your knowledge in these areas.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come through our own platform!
How to prepare for a job interview at Hunter Bond
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with frameworks like FastAPI, Flask, or Django, and be prepared to solve coding challenges on the spot. Practising common algorithms and data structures can really help you shine.
✨Get Familiar with Financial Concepts
Since this role involves working with trading and risk datasets, it’s crucial to understand the basics of finance and capital markets. Brush up on key terms and concepts so you can confidently discuss how your technical skills apply to financial scenarios.
✨Showcase Your SQL Skills
SQL is a big part of this job, so be ready to demonstrate your data processing abilities. Prepare to answer questions about optimising queries and handling large datasets. You might even be asked to write some SQL code during the interview, so practice makes perfect!
✨Prepare for Collaboration Questions
This role requires working closely with both technical and business stakeholders. Think of examples from your past experiences where you successfully collaborated across teams. Highlight your communication skills and how you’ve navigated complex projects in a fast-paced environment.
