Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop a cross-asset analytics platform for front office sales using Python and React.
- Company: Join a leading firm driving innovation in Global Markets with a focus on data and analytics.
- Benefits: Enjoy a permanent role in London with opportunities for professional growth and collaboration.
- Why this job: Be part of a dynamic team shaping the future of finance through technology and analytics.
- Qualifications: Experience in software development, particularly with Python and React, is essential.
- Other info: Engage directly with senior management and stakeholders, enhancing your professional network.
The predicted salary is between 48000 - 84000 £ per year.
We have a current opportunity for a Python Quant Pricing Developer on a permanent basis. The position will be based in London. For further information about this position please apply.
Core Strats play a vital role in driving quantitative deliveries across all Global Markets businesses managing the core data and analytics platform, including Data, AI/ML, and Governance & Core Engineering. The team ensures we scale important initiatives effectively whilst modernising and adapting to technological change and is a key driver of our competitive advantage.
The Front Office Platform team is responsible for delivering user-facing analytics capabilities to businesses across Markets. The goal of the team is to create a unified platform for development and analysis. This includes driving the adoption of the platform, prototyping new technologies for integration, standardising UI and backend components, and initiating business-aligned application development projects. This work is carried out in close collaboration with partners in trading and sales businesses and the Technology organisation.
Overall purpose of role: We are seeking an experienced quant developer to lead the development of a cross-asset analytics platform for front office sales, ensuring alignment with strategic initiatives. This is a hands-on software development role. The candidate will collaborate with senior stakeholders and users to define requirements, implement back-end and UI components in partnership with technology teams, and ensure consistency with other firmwide initiatives. This role offers significant exposure to senior management and very strong communication skills are essential.
- Deliver a cross-asset front office analytics platform to sales personnel.
- Engagement with sales users and senior stakeholders in sales and trading businesses.
- Interact with senior management to report progress and suggest strategic direction.
- Design of the system and the associated APIs.
- Hands-on development of backend and front end components, focusing on Python and React.
- Ensure that the platform aligns with strategic initiatives, by collaborating with partners in the Technology organization.
Python Quant Pricing Developer employer: Huxley
Contact Detail:
Huxley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Quant Pricing Developer
✨Tip Number 1
Familiarise yourself with the latest trends in Python and React, as these are crucial for the role. Consider building a small project or contributing to open-source projects that showcase your skills in these technologies.
✨Tip Number 2
Network with professionals in the finance and tech sectors, especially those involved in quantitative development. Attend relevant meetups or webinars to connect with potential colleagues and learn more about the industry.
✨Tip Number 3
Prepare to discuss your experience with cross-asset analytics platforms and how you've engaged with stakeholders in previous roles. Be ready to share specific examples of how you’ve contributed to similar projects.
✨Tip Number 4
Brush up on your communication skills, as this role requires interaction with senior management. Practice articulating complex technical concepts in a clear and concise manner to demonstrate your ability to engage effectively with non-technical stakeholders.
We think you need these skills to ace Python Quant Pricing Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Python development and quantitative analysis. Emphasise any previous roles where you worked on analytics platforms or collaborated with sales and trading teams.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills align with the key accountabilities mentioned in the job description, particularly your experience with back-end and front-end development using Python and React.
Showcase Communication Skills: Since strong communication skills are essential for this role, consider including examples in your application that demonstrate your ability to engage with senior stakeholders and report on project progress effectively.
Highlight Relevant Projects: If you have worked on projects that involved cross-asset analytics or user-facing platforms, be sure to detail these experiences. Explain your role in the project, the technologies used, and the outcomes achieved.
How to prepare for a job interview at Huxley
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and React in detail. Bring examples of past projects where you've developed back-end and front-end components, and be ready to explain your thought process and the challenges you faced.
✨Understand the Business Context
Research the company’s role in the Global Markets and how the analytics platform fits into their strategy. Demonstrating an understanding of how your work can impact sales and trading will show that you’re aligned with their goals.
✨Communicate Effectively
Since strong communication skills are essential for this role, practice articulating your ideas clearly. Be ready to engage with senior stakeholders and explain complex technical concepts in a way that is easy to understand.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving questions during the interview. Brush up on algorithms and data structures relevant to your role, and be prepared to think aloud as you work through solutions.
