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- Tasks: Lead Python development for financial modelling projects in asset management.
- Company: Join a dynamic asset management firm in London, driving innovation in finance.
- Benefits: Enjoy competitive day rates and flexible contract options.
- Why this job: Shape the future of Python development while collaborating with cross-functional teams.
- Qualifications: Masters in computer science and extensive Python experience required.
- Other info: Opportunity to explore AI trends and implement DevOps practices.
The predicted salary is between 54000 - 84000 £ per year.
Do you have the right skills and experience for this role? Read on to find out, and make your application.
Contract - Extending
Day Rate - Competitive (Negotiable)
Start - ASAP
Looking for a mid-senior experienced Python Developer with strong data engineering skills to work closely with cross-functional teams, including Information Technology, COO Office, business analysts and external technology partners and vendors to translate business requirements into technical financial solutions, ensuring the successful delivery of Python-based Financial modelling projects to optimise asset management systems. The individual will be responsible for defining and shaping Python development practices and setting the foundation for future Python development at the organisation.
- Establish and enforce coding standards and best practices for Python development. Implement strategies that ensure code quality, maintainability, and scalability.
- Implement robust security measures in all Python-based solutions to ensure the protection of sensitive data and compliance with relevant regulations and industry standards.
- Develop and create frameworks for Python Notebooks, APIs, and client applications, adhering to best practices in coding, security, and scalability. This includes designing reusable libraries and tools for efficient development processes.
- Actively contribute to knowledge sharing, providing guidance to other developers on Python-related topics. Develop training resources and documentation to support other teams or future developers in adopting Python practices.
- Define and implement code review processes and quality assurance mechanisms that ensure high standards of development, including version control, automated testing, and peer reviews.
- Stay up to date with emerging trends in AI and explore how Python can be leveraged to support AI use cases within the organisation.
- Design and implement DevOps practices tailored for Python development, including version control, automated testing, continuous integration, and deployment processes to ensure smooth and efficient development and delivery of Python-based solutions.
Person Specification:
- Masters in computer science or similar qualification
- Numerous years of Python development experience
- Expert proficiency in Python and its ecosystems (e.g., Flask, Django, Pandas, NumPy).
- Experience in financial modelling, particularly using Python to optimise asset management systems and financial applications.
- Expertise in cloud platforms, particularly Azure, and integration with Python for scalable, cloud-based solutions.
- Knowledge of database management systems (SQL, NoSQL) and API development.
- Team player with strong interpersonal skills
- Ability to lead complex work-streams with tight deadlines, working in collaboration with key internal stakeholders.
Get in touch to discuss suitability.
Lead Quantitative Python Developer - Asset Management employer: Talensa Partners
Contact Detail:
Talensa Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Quantitative Python Developer - Asset Management
✨Tip Number 1
Network with professionals in the asset management and Python development fields. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends, which can give you an edge in your application.
✨Tip Number 2
Showcase your expertise in Python and financial modelling through personal projects or contributions to open-source initiatives. This hands-on experience can demonstrate your skills effectively during interviews.
✨Tip Number 3
Familiarise yourself with the specific tools and frameworks mentioned in the job description, such as Flask, Django, and Azure. Being able to discuss these technologies confidently will show your preparedness for the role.
✨Tip Number 4
Prepare to discuss your experience with coding standards and best practices in Python development. Be ready to share examples of how you've implemented quality assurance processes in previous roles, as this is crucial for the position.
We think you need these skills to ace Lead Quantitative Python Developer - Asset Management
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python development experience, particularly in financial modelling and asset management. Include specific projects or achievements that demonstrate your expertise in relevant technologies like Flask, Django, and cloud platforms such as Azure.
Craft a Compelling Cover Letter: In your cover letter, express your passion for Python development and asset management. Discuss how your skills align with the job requirements, particularly your experience in implementing coding standards and security measures in Python-based solutions.
Showcase Relevant Projects: If you have worked on any significant projects related to Python development in finance, be sure to include them in your application. Describe your role, the technologies used, and the impact of your work on the project outcomes.
Highlight Team Collaboration Skills: Since the role involves working closely with cross-functional teams, emphasise your interpersonal skills and experiences where you successfully collaborated with IT, business analysts, or external partners to deliver technical solutions.
How to prepare for a job interview at Talensa Partners
✨Showcase Your Python Expertise
Be prepared to discuss your experience with Python in detail. Highlight specific projects where you've implemented coding standards, security measures, or developed frameworks. This will demonstrate your technical proficiency and understanding of best practices.
✨Understand Financial Modelling
Since the role focuses on asset management, brush up on financial modelling concepts. Be ready to explain how you've used Python to optimise financial applications in previous roles. This knowledge will show your relevance to the position.
✨Demonstrate Leadership Skills
As a lead developer, you'll need to guide other team members. Prepare examples of how you've mentored others or led projects. Discuss your approach to code reviews and quality assurance to illustrate your leadership style.
✨Stay Current with Trends
Familiarise yourself with emerging trends in AI and how they relate to Python development. Be ready to discuss how you can leverage these trends within the organisation. This shows your proactive attitude towards continuous learning and innovation.
