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For Companies At a Glance
- Tasks: Design and build high-performance software for financial market analytics.
- Company: Join a leading firm at the forefront of financial technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape engineering practices and lead innovative projects in a dynamic environment.
- Qualifications: 7+ years in software development with expertise in Python and financial services.
- Other info: Collaborate with traders and quants to deliver impactful solutions.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a Senior Python Developer to design, build, and maintain high‑performance, scalable solutions supporting financial market analytics. This is a high-impact role sitting at the intersection of complex data engineering and front-office trading systems. You will play a key role in shaping engineering practices, guiding architectural decisions, and leading junior engineers to deliver business-critical solutions.
- Financial Engineering: Design and deploy scalable, high-performance software for data processing and trading analytics.
- Technical Leadership: Lead architectural decisions, conduct rigorous code reviews, and mentor junior engineers.
- Stakeholder Collaboration: Partner with Traders, Quants, and Product Managers to translate market requirements into robust technical solutions.
- DevOps Excellence: Drive CI/CD automation, TDD/BDD practices, and containerised deployments via Kubernetes.
- Performance Tuning: Diagnose and resolve bottlenecks in production systems to ensure low-latency data delivery.
Technical Profile
- Python Mastery: Expert-level Python 3.9+ (Design Patterns, OOP, logical data modelling, pandas, SQLAlchemy).
- Data Engineering: High-scale workload experience using Parquet or Arrow.
- Database Expert: Mastery of SQL Server or PostgreSQL (tuning, joins, transactions, and complex aggregations).
- Cloud & Infrastructure: Hands-on experience with AWS or Azure, Docker, and Kubernetes (Helm, StatefulSets).
- Automation: Proficiency in CI/CD pipelines (Azure DevOps/Jenkins) and Python test automation.
Qualifications & Domain
- Background: 7+ years of professional software development experience.
- Domain: Proven track record within Financial Services (Investment Banking, Hedge Funds, or FinTech).
- Education: Bachelor's degree or higher in Computer Science, Engineering, or a related quantitative field.
- Communication: Exceptional ability to engage with business stakeholders and thrive in a fast-paced environment.
Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Senior Python Developer - Digital Trading Analytics employer: Randstad Technologies Recruitment
Contact Detail:
Randstad Technologies Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Developer - Digital Trading Analytics
✨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 Senior Python Developer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those related to data engineering and trading analytics. 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 Python mastery and database expertise. Practice coding challenges and be ready to discuss your architectural decisions and mentoring experiences.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles waiting for talented developers like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Python Developer - Digital Trading Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python mastery and experience in financial services. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about digital trading analytics and how your background makes you the perfect fit for our team. Let us know what excites you about this role!
Showcase Your Technical Skills: Don’t forget to mention your experience with tools like AWS, Docker, and Kubernetes. We’re looking for someone who can hit the ground running, so highlight any relevant projects or experiences that demonstrate your technical prowess.
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’re considered for the role. Plus, it shows us you’re keen on joining the StudySmarter family!
How to prepare for a job interview at Randstad Technologies Recruitment
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially the latest features in Python 3.9+. Be ready to discuss design patterns, OOP principles, and how you've used libraries like pandas and SQLAlchemy in your past projects.
✨Showcase Your Data Engineering Experience
Prepare examples of high-scale workloads you've managed using Parquet or Arrow. Be ready to explain how you’ve designed and deployed scalable solutions for data processing and trading analytics, as this is crucial for the role.
✨Demonstrate Technical Leadership
Think of instances where you've led architectural decisions or conducted code reviews. Highlight your mentoring experiences with junior engineers, as this will show your capability to guide others in a fast-paced environment.
✨Engage with Stakeholders
Be prepared to discuss how you've collaborated with traders, quants, and product managers in the past. Show that you can translate market requirements into technical solutions, which is key for this position.
