At a Glance
- Tasks: Design and build scalable systems for systematic trading strategies.
- Company: Leading multi-strategy hedge fund focused on technology-driven investments.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Other info: Collaborate with researchers and traders in a fast-paced, innovative setting.
- Why this job: Make a real impact on trading performance with cutting-edge technology.
- Qualifications: 3+ years in finance or tech, strong Python skills, and problem-solving mindset.
The predicted salary is between 60000 - 80000 £ per year.
Our client is a leading multi-strategy hedge fund with a strong focus on systematic trading and technology-driven investment strategies.
This role focuses on designing and building scalable systems that support the full lifecycle of systematic trading strategies, including data processing, model deployment, portfolio optimisation, and execution. You will work closely with researchers and traders to translate quantitative models into robust, production-ready trading infrastructure, directly impacting trading performance.
Responsibilities
- Build and optimise high-performance data pipelines for large-scale financial datasets
- Develop production-grade systems for portfolio construction, execution, and risk management
- Integrate research environments with live trading infrastructure
- Design scalable systems for real-time signal generation, order management, and position tracking
- Collaborate with researchers to productionise models and trading strategies
- Implement monitoring, testing, and validation frameworks
- Improve system performance and efficiency across distributed environments
- Contribute to execution optimisation and systematic trading infrastructure
Requirements
- 3+ years' experience in a hedge fund, trading firm, investment bank, or strong technology environment
- Strong Python skills, plus at least one compiled language (e.g. C++, Java, C#, Rust)
- Solid grounding in computer science and software engineering principles
- Experience working with large datasets, with understanding of statistics and linear algebra
- Ability to bridge research and production environments
- Strong problem-solving skills and adaptable engineering mindset
- Experience with data engineering or distributed systems is beneficial but not essential
Apply now!
Quant Developer | Trading Systems & Execution employer: Selby Jennings
Our client is an exceptional employer, offering a dynamic work culture that thrives on innovation and collaboration. With a strong emphasis on employee growth, you will have the opportunity to work alongside top-tier researchers and traders, directly influencing trading performance while developing cutting-edge technology in a fast-paced hedge fund environment. Located in a vibrant financial hub, the company provides competitive benefits and a supportive atmosphere that fosters both personal and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Quant Developer | Trading Systems & Execution
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to trading systems or data pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and any compiled languages you know. Practice coding challenges and be ready to discuss your problem-solving approach, especially in relation to trading strategies.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Quant Developer | Trading Systems & Execution
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Quant Developer. Highlight your experience with Python and any compiled languages you've worked with, as well as your background in systematic trading and technology-driven strategies.
Showcase Relevant Projects:Include specific projects that demonstrate your ability to build scalable systems and work with large datasets. This could be anything from data pipelines to portfolio optimisation systems – let us see what you've done!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you're passionate about systematic trading and how your skills align with our needs. Don't forget to mention your problem-solving skills and adaptability.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Selby Jennings
✨Know Your Tech Stack
Make sure you’re well-versed in Python and at least one compiled language like C++ or Java. Brush up on your coding skills and be ready to discuss how you've used these languages in past projects, especially in relation to building scalable systems.
✨Understand Systematic Trading
Familiarise yourself with systematic trading concepts and the lifecycle of trading strategies. Be prepared to discuss how you can contribute to data processing, model deployment, and portfolio optimisation, as these are key aspects of the role.
✨Showcase Problem-Solving Skills
Prepare examples that highlight your problem-solving abilities, especially in high-pressure environments. Think about challenges you've faced in previous roles and how you overcame them, particularly in relation to data engineering or distributed systems.
✨Collaborate and Communicate
Since this role involves working closely with researchers and traders, practice articulating your thoughts clearly. Be ready to discuss how you would bridge the gap between research and production environments, and demonstrate your ability to work collaboratively.
