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For Companies At a Glance
- Tasks: Transform quantitative models into high-performance trading applications and optimise research workflows.
- Company: Join a cutting-edge firm focused on innovative trading solutions and financial technology.
- Benefits: Enjoy flexible working options, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a dynamic team that impacts real-time markets and enhances trading strategies.
- Qualifications: 3+ years in software development with strong skills in Python, C++, or Java required.
- Other info: Collaborate with experts in finance and technology to drive innovation in trading systems.
The predicted salary is between 48000 - 72000 £ per year.
As a Research Developer, you will play a critical role in transforming quantitative models into scalable, high-performance trading applications. You’ll optimise research workflows, enhance back testing frameworks, and develop robust execution strategies that operate in real-time markets.
Key Responsibilities:
- Build and optimise back testing and simulation frameworks for evaluating trading strategies.
- Develop low-latency, high-performance software to execute and refine research-driven trading models.
- Work closely with quantitative researchers to translate ideas into production-ready code.
- Enhance data pipelines for ingesting, processing, and analysing vast amounts of financial data.
- Optimise and deploy machine learning and statistical models in a trading environment.
- Improve execution logic by refining order routing, risk management, and latency-sensitive components.
- Collaborate with infrastructure teams to ensure scalability and robustness of research systems.
You Need:
- 3+ years of experience in software development, with a focus on quantitative research or trading systems.
- Strong programming skills in Python, C++, or Java.
- Experience with high-performance computing, parallel processing, and low-latency systems.
- Knowledge of financial markets, market microstructure, or algorithmic trading.
- Proficiency in working with large datasets, time-series analysis, and statistical modelling.
- Strong understanding of data structures, algorithms, and software optimisation.
Research Developer employer: Fourier Ltd
Contact Detail:
Fourier Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Developer
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative research and trading systems. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the finance and tech industries, especially those who work in algorithmic trading. Attend relevant meetups or webinars to build connections that could lead to referrals.
✨Tip Number 3
Brush up on your programming skills, particularly in Python, C++, or Java. Consider working on personal projects or contributing to open-source projects that showcase your ability to develop high-performance applications.
✨Tip Number 4
Prepare to discuss your experience with large datasets and statistical modelling in detail. Be ready to provide examples of how you've optimised software for performance, as this will be crucial in demonstrating your fit for the role.
We think you need these skills to ace Research Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software development, particularly in quantitative research or trading systems. Emphasise your programming skills in Python, C++, or Java, and any relevant projects that showcase your ability to develop high-performance applications.
Craft a Compelling Cover Letter: In your cover letter, explain why you are interested in the Research Developer position. Discuss your experience with back testing frameworks and how you've optimised trading strategies in the past. Be specific about your contributions and the impact they had on previous projects.
Showcase Relevant Projects: If you have worked on projects involving high-performance computing or low-latency systems, include these in your application. Provide links to your GitHub or portfolio where potential employers can see your code and understand your approach to problem-solving.
Highlight Collaboration Skills: Since the role involves working closely with quantitative researchers and infrastructure teams, mention any collaborative projects you've been part of. Highlight your ability to translate complex ideas into production-ready code and how you’ve contributed to team success.
How to prepare for a job interview at Fourier Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your programming experience in Python, C++, or Java. Bring examples of past projects where you developed high-performance software or worked with quantitative models, as this will demonstrate your technical proficiency.
✨Understand Financial Markets
Brush up on your knowledge of financial markets and algorithmic trading. Being able to discuss market microstructure and how it relates to your work will show that you understand the context of the role and can contribute effectively.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving abilities. Practice coding challenges related to data structures, algorithms, and optimisation techniques, as these are crucial for the role of a Research Developer.
✨Demonstrate Collaboration Skills
Since the role involves working closely with quantitative researchers and infrastructure teams, be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and ability to translate complex ideas into actionable solutions.
