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- Tasks: Lead the creation of a new Python-based quant development framework for trading.
- Company: Join a global leader in capital markets technology, known for innovation and speed.
- Benefits: Enjoy a £150k salary, bonuses, hybrid work, and comprehensive benefits.
- Why this job: Make a significant impact in a fast-paced environment with a collaborative culture.
- Qualifications: Expert Python skills and experience in building quant frameworks are essential.
- Other info: Work closely with teams in London and New York on cutting-edge projects.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
VP Python Developer Role | Trading Floor | Capital Markets
London (Hybrid)
VP Level – £150k Bonus Benefits
Python
Join a Global Leader in Capital Markets Technology.
Are you a Python expert who has built quant trading platforms from the ground up? This is a rare opportunity to join a leading international capital markets organisation, renowned for its cutting-edge technology and fast-paced trading environment.
You will take a pivotal role in designing and delivering a new quantitative development framework, shaping the Python ecosystem that underpins trading, pricing, and risk across the Front Office.
The Role:
You will:
- Lead the build of a brand-new Python-based quant development framework, owning its design, architecture, and tooling.
- Partner closely with teams in London and New York to define the Python environment, toolset, and DevOps processes from the ground up.
- Collaborate with quantitative engineers, model developers, and traders, enabling agile delivery of advanced trading and risk tools.
- Solve complex engineering challenges, laying the foundation for next-generation research and trading platforms.
Key Responsibilities:
- Build the core Python quant library used for pricing, risk analysis, and model research.
- Develop an interactive tools framework for live applications (Excel & Web).
- Implement CI/CD automation for testing, packaging, and deploying Python modules.
- Collaborate with Front Office teams to implement and enhance bespoke trading solutions.
Skills & Experience Required:
- Proven experience in building and owning quant frameworks, ideally within trading or capital markets.
- Expert-level Python development skills, with a focus on performance and scalability.
- Experience with high-performance data analytics applications.
- Solid understanding of network fundamentals and database technologies.
Desirable:
- Knowledge of PyXLL, C++/C#, or pybind.
On Offer:
- A high-impact role with full ownership of a Front Office Python platform.
- £150k base bonus comprehensive benefits.
- A hybrid working model, with offices near Liverpool Street.
- Professional growth and exposure to a high-performing trading environment.
- A collaborative, innovative culture within a global capital markets leader.
If you're ready to build a quant framework from scratch and make a lasting impact, please apply now.
Senior Python Developer employer: ARC IT Recruitment
Contact Detail:
ARC IT Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Developer
✨Tip Number 1
Network with professionals in the capital markets and trading sectors. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends in Python development for trading platforms.
✨Tip Number 2
Showcase your expertise by contributing to open-source Python projects related to quantitative finance. This not only demonstrates your skills but also helps you build a portfolio that can impress hiring managers.
✨Tip Number 3
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as CI/CD automation and high-performance data analytics applications. Being well-versed in these areas will give you an edge during interviews.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges that focus on Python performance and scalability. Use platforms like LeetCode or HackerRank to sharpen your problem-solving skills relevant to quant frameworks.
We think you need these skills to ace Senior Python Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python development, especially in building quant frameworks. Include specific projects or roles that demonstrate your expertise in trading or capital markets.
Craft a Compelling Cover Letter: In your cover letter, express your passion for quantitative development and how your skills align with the company's needs. Mention your experience with high-performance data analytics and any relevant tools you've used.
Showcase Relevant Projects: If you have worked on any quant trading platforms or similar projects, be sure to include these in your application. Detail your role, the technologies used, and the impact of your contributions.
Highlight Collaboration Skills: Since the role involves partnering with teams across locations, emphasise your ability to work collaboratively. Provide examples of how you've successfully collaborated with engineers, traders, or other stakeholders in previous roles.
How to prepare for a job interview at ARC IT Recruitment
✨Showcase Your Python Expertise
Be prepared to discuss your experience with Python in detail. Highlight specific projects where you've built quant frameworks or trading platforms, and be ready to explain the challenges you faced and how you overcame them.
✨Understand the Capital Markets Landscape
Familiarise yourself with the current trends and technologies in capital markets. Being able to discuss how your skills can contribute to the organisation's goals will demonstrate your genuine interest in the role.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving abilities and understanding of performance optimisation in Python. Brush up on data structures, algorithms, and any relevant libraries that are commonly used in quantitative finance.
✨Emphasise Collaboration Skills
Since the role involves working closely with teams in different locations, highlight your experience in collaborative environments. Share examples of how you've successfully partnered with other developers, traders, or quantitative engineers to deliver projects.
