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- Tasks: Design and develop Python applications for a leading SaaS platform in finance.
- Company: Join LinkedTrade Technologies, a pioneer in transforming structured products for financial institutions.
- Benefits: Enjoy competitive salary, hybrid work options, and a supportive workplace focused on your growth.
- Why this job: Be part of innovative projects that make a real impact in the fintech space.
- Qualifications: 2+ years of Python experience, knowledge of SQL, and familiarity with AWS and CI/CD tools.
- Other info: Opportunity to collaborate with industry leaders and explore Generative AI and Machine Learning.
The predicted salary is between 28800 - 48000 £ per year.
Are you a passionate Python developer looking for your next challenge? LinkedTrade Technologies Ltd, a leading Software as a Service (SaaS) platform revolutionising the structured products industry, is searching for a skilled Python Developer to join our dynamic team. At LinkedTrade, we empower financial institutions to scale up their engineering and distribution of structured investment solutions seamlessly. As an industry leader, we pride ourselves on innovation, agility, and delivering cutting-edge solutions that transform the way structured products are managed.
What You’ll Do
- Design, develop, and maintain Python-based applications and services to support our SaaS platform.
- Collaborate with a cross-functional team to implement new features and enhance existing functionalities.
- Write clean, efficient, and well-documented code.
- Troubleshoot, debug, and optimise performance to ensure our platform runs smoothly and efficiently.
- Contribute to the overall architecture and technical direction of the platform.
What We’re Looking For
- 2+ years of hands-on experience in Python development (version 3.8 and higher).
- Strong knowledge of Python packages: numpy, pandas, SQLAlchemy.
- Proficiency in working with databases (SQL/MySQL).
- Experience with DevOps practices and tools for continuous integration and continuous deployment (CI/CD), such as Jenkins.
- Experience with version control systems, preferably Git.
- Experience with AWS cloud platform and computing concepts such as AWS Lambda.
- Experience with RESTful APIs and microservices architecture.
- Familiarity with JAVA 17 is a plus.
- Strong interest in Generative AI models and Machine Learning, with desirable experience using the OpenAI API.
- Knowledge of structured investment solutions, financial services and market data API is a plus.
- Problem-solving mindset and ability to work in a fast-paced, collaborative environment.
What We Offer
- A chance to work on innovative projects in the capital markets fintech space.
- Competitive salary and benefits.
- Opportunity to collaborate with industry leaders and make a real impact.
- A supportive and inclusive workplace where your growth is prioritised.
Location
This role is based in London, United Kingdom, with flexibility for hybrid working arrangements.
If you’re ready to take the next step in your career and contribute to the future of structured investments, send your CV and a brief introduction.
Python Engineer employer: LinkedTrade
Contact Detail:
LinkedTrade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Engineer
✨Tip Number 1
Familiarise yourself with the specific Python packages mentioned in the job description, such as numpy and pandas. Being able to discuss your experience with these tools during an interview will demonstrate your technical expertise and readiness for the role.
✨Tip Number 2
Showcase any projects or contributions you've made that involve AWS services, particularly AWS Lambda. This will highlight your practical experience with cloud computing, which is a key requirement for the position.
✨Tip Number 3
Prepare to discuss your understanding of CI/CD practices and tools like Jenkins. Being able to articulate how you've implemented these in past projects can set you apart from other candidates.
✨Tip Number 4
If you have any experience with Generative AI models or Machine Learning, be ready to share specific examples. This aligns well with the company's focus on innovation and could make you a more attractive candidate.
We think you need these skills to ace Python Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python development, especially with version 3.8 and higher. Include specific projects where you've used relevant packages like numpy, pandas, and SQLAlchemy.
Craft a Compelling Cover Letter: In your cover letter, express your passion for Python development and the fintech industry. Mention any experience you have with AWS, CI/CD tools, and RESTful APIs, as these are key to the role.
Showcase Problem-Solving Skills: Provide examples in your application that demonstrate your problem-solving mindset. Discuss how you've tackled challenges in previous projects, particularly in a collaborative environment.
Highlight Relevant Experience: If you have experience with Generative AI models or Machine Learning, make sure to mention it. This could set you apart from other candidates, especially if you have worked with the OpenAI API.
How to prepare for a job interview at LinkedTrade
✨Showcase Your Python Skills
Be prepared to discuss your experience with Python, especially version 3.8 and higher. Highlight specific projects where you've used libraries like numpy and pandas, and be ready to demonstrate your coding abilities through practical tests or examples.
✨Understand the SaaS Model
Since LinkedTrade is a SaaS platform, it’s crucial to understand how SaaS works. Familiarise yourself with the challenges and benefits of SaaS applications, and be ready to discuss how you can contribute to enhancing their platform.
✨Familiarity with DevOps Practices
Brush up on your knowledge of CI/CD tools like Jenkins and version control systems such as Git. Be prepared to explain how you’ve implemented these practices in past projects to improve deployment processes.
✨Express Interest in Financial Services
Demonstrate your understanding of structured investment solutions and the financial services industry. If you have experience with market data APIs or Generative AI models, make sure to mention it, as this could set you apart from other candidates.
