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- Tasks: Lead Python development for financial modelling projects in asset management.
- Company: Join a dynamic asset management firm in London, focused on innovative financial solutions.
- Benefits: Competitive day rate, flexible contract, and opportunities for professional growth.
- Why this job: Shape the future of Python development while collaborating with cross-functional teams and enhancing your skills.
- Qualifications: Masters in computer science, extensive Python experience, and expertise in financial modelling required.
- Other info: Opportunity to work with emerging AI trends and implement DevOps practices.
The predicted salary is between 60000 - 84000 £ per year.
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
Familiarise yourself with the specific Python frameworks mentioned in the job description, such as Flask and Django. Having hands-on experience with these will not only boost your confidence but also demonstrate your readiness to hit the ground running.
✨Tip Number 2
Brush up on your financial modelling skills, particularly how Python can be used to optimise asset management systems. Being able to discuss relevant projects or experiences during interviews will set you apart from other candidates.
✨Tip Number 3
Showcase your knowledge of cloud platforms, especially Azure, as well as your experience with database management systems. This is crucial for the role, and being able to speak about your past projects involving these technologies will make a strong impression.
✨Tip Number 4
Prepare to discuss your leadership experience and how you've collaborated with cross-functional teams. Highlighting your ability to lead complex work-streams and communicate effectively with stakeholders will demonstrate that you're the right fit for this senior 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. Emphasise your expertise with relevant frameworks like Flask and Django, as well as your experience with cloud platforms such as Azure.
Craft a Compelling Cover Letter: In your cover letter, explain why you are the perfect fit for the Lead Quantitative Python Developer role. Discuss your experience in leading development practices and your ability to implement coding standards and best practices.
Showcase Relevant Projects: Include specific examples of projects where you've successfully developed Python-based financial solutions. Highlight your contributions to knowledge sharing and training resources, as well as any experience with DevOps practices.
Highlight Soft Skills: Since this role requires collaboration with cross-functional teams, make sure to mention your strong interpersonal skills and your ability to lead complex work-streams under tight deadlines. This will demonstrate your capability to work effectively within a team.
How to prepare for a job interview at Talensa Partners
✨Showcase Your Python Expertise
Be prepared to discuss your experience with Python and its ecosystems, such as Flask, Django, Pandas, and NumPy. Highlight specific projects where you've optimised asset management systems or developed financial applications.
✨Demonstrate Your Data Engineering Skills
Since the role requires strong data engineering skills, be ready to explain how you've handled data management, including working with SQL and NoSQL databases. Share examples of how you've implemented coding standards and best practices in your previous roles.
✨Discuss Your Leadership Experience
As a lead developer, you'll need to guide other developers. Talk about your experience in mentoring or training team members, and how you've contributed to knowledge sharing within your teams. This will show your ability to lead complex work-streams effectively.
✨Stay Updated on Industry Trends
Familiarise yourself with emerging trends in AI and how Python can be leveraged for AI use cases. Be prepared to discuss your thoughts on these trends and how they could impact the organisation's development practices.
