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- Tasks: Build high-performance trading models and data platforms using Python.
- Company: Join an elite prop trading firm known for its cutting-edge technology.
- Benefits: Enjoy a generous salary, bonuses, and excellent career progression.
- Why this job: Work with top developers and traders, shaping the future of trading.
- Qualifications: 3+ years as a Quantitative Developer with strong Python skills required.
- Other info: Hybrid working model available, offering flexibility in your work environment.
The predicted salary is between 64000 - 160000 £ per year.
My client are seeking a talented Quantitative Developer to help build out high performance trading models and greenfield data platforms. As a Quantitative Developer in this team, you will work across a range of projects, within which you will have input on software development and architecture, as well as engaging with statistical research to shape how this team will operate for years to come.
Responsibilities:
- Leveraging large datasets to inform trading strategies and improve models.
- Extract, Clean, and Process Data for huge scale (100s of billions of records).
- Design and maintain data pipelines, ensuring data is structured efficiently for easy retrieval and analysis.
- Tune and optimise new and existing models for performance, ensuring they handle massive data volumes efficiently.
- Write high-performance code for trading algorithms that execute strategies based on real-time data analysis.
You will have:
- 3+ Years experience as a Quantitative Developer (or related field like Software Engineering).
- 3+ Years experience using Python.
- Strong understanding of data infrastructure.
- Experience writing software designed for performance on a HUGE scale.
- Strong understanding of high level system design.
The organisation is one of the most elite trading firms globally and you can expect to find:
- Generous benefits and bonus package - Market Leading!
- Excellent career progression and the ability to learn from some of the best developers, researchers and traders on the planet.
- The opportunity to work with tech years ahead of competitors!
If you are a Quantitative Developer, please apply directly or email rdelaney@hunterbond.com for more information.
Quantitative Developer (Python) - Hybrid Working - £80,000 - £200,000 Base (+ Bonus) employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer (Python) - Hybrid Working - £80,000 - £200,000 Base (+ Bonus)
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative finance and trading algorithms. Being able to discuss recent developments or innovations in the field during your interview can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the trading and quantitative development space. Attend industry meetups or webinars where you can connect with current employees of elite trading firms, as they might provide insights or even referrals.
✨Tip Number 3
Brush up on your Python skills, especially in relation to data processing and high-performance coding. Consider working on personal projects that involve large datasets to demonstrate your ability to handle the scale required for this role.
✨Tip Number 4
Prepare to discuss your experience with system design and data infrastructure. Be ready to explain how you've optimised models or data pipelines in past roles, as this will show your practical understanding of the responsibilities outlined in the job description.
We think you need these skills to ace Quantitative Developer (Python) - Hybrid Working - £80,000 - £200,000 Base (+ Bonus)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Quantitative Developer, particularly your proficiency in Python and any relevant projects you've worked on. Emphasise your understanding of data infrastructure and high-level system design.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or technologies that excite you about the position and how your skills align with their needs.
Showcase Relevant Experience: When detailing your work experience, focus on your achievements in leveraging large datasets, designing data pipelines, and writing high-performance code. Use quantifiable results to demonstrate your impact.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in a quantitative role.
How to prepare for a job interview at LinkedIn
✨Showcase Your Python Skills
Make sure to highlight your experience with Python during the interview. Be prepared to discuss specific projects where you've used Python to develop high-performance code, especially in relation to trading algorithms or data processing.
✨Demonstrate Your Understanding of Data Infrastructure
Since the role involves working with large datasets, be ready to explain your knowledge of data infrastructure. Discuss how you've designed and maintained data pipelines in the past, and how you ensure data is structured for efficient retrieval and analysis.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and understanding of system design. Brush up on concepts related to high-level system architecture and be ready to tackle scenarios that involve optimising models for performance.
✨Engage with Statistical Research
As the role involves engaging with statistical research, be prepared to discuss any relevant experience you have in this area. Show your enthusiasm for using statistical methods to inform trading strategies and how you can contribute to the team's long-term goals.
