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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.
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 or quantitative research. Attend relevant meetups or webinars to make connections that could lead to referrals.
✨Tip Number 3
Showcase your programming skills by contributing to open-source projects related to trading systems or financial data analysis. This demonstrates your practical experience and commitment to the field.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges that focus on algorithms and data structures. Being well-prepared will boost your confidence and improve your chances of impressing the interviewers.
We think you need these skills to ace Research Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in software development, particularly in quantitative research or trading systems. Emphasise your programming skills in Python, C++, or Java, and any experience with high-performance computing.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about the role of Research Developer. Discuss your experience with back testing frameworks and how you've optimised trading strategies in the past. Show enthusiasm for working closely with quantitative researchers.
Showcase Relevant Projects: If you have worked on projects related to financial markets, market microstructure, or algorithmic trading, be sure to include these in your application. Detail your contributions and the technologies used, especially if they involved large datasets or statistical modelling.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail, which is crucial in a role that involves developing high-performance trading applications.
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. Highlight specific projects where you've developed high-performance software or worked with low-latency systems, as this will demonstrate your capability to handle the technical demands of the role.
✨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 previous work will show that you have a solid understanding of the industry, which is crucial for a Research Developer.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving questions during the interview. Practice coding challenges that focus on data structures, algorithms, and optimisation techniques, as these are key areas for the role and will help you stand out.
✨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. This will highlight your ability to communicate effectively and work as part of a team.
