At a Glance
- Tasks: Design and maintain a cutting-edge trading platform for equities and derivatives.
- Company: Join a dynamic investment team at the forefront of quantitative finance.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact on live portfolios in a fast-paced, intellectually stimulating environment.
- Qualifications: Degree in STEM, strong Python skills, and a passion for quantitative finance.
- Other info: Collaborate with top researchers and portfolio managers in a high-performing team.
The predicted salary is between 36000 - 60000 £ per year.
Our client is seeking a highly motivated Quantitative Developer to join a systematic investment team focused on equities and equity derivatives. This role sits at the intersection of quantitative research and production trading, offering direct impact on live portfolios and research outcomes within a fast-paced, intellectually rigorous environment.
The Role
As a Quantitative Developer, you will design, build, and maintain core components of a systematic trading platform. You will work closely with researchers and portfolio managers to ensure that research ideas transition seamlessly into robust, production-ready trading systems.
Key Responsibilities
- Design and implement software components supporting both live trading and high-fidelity simulation of equities derivatives strategies.
- Enhance the automation, scalability, and resilience of the research stack, including alpha generation, risk modeling, and backtesting frameworks.
- Own the ongoing development and maintenance of the trading platform, with a strong focus on reliability, performance, security, and operational stability.
- Proactively identify architectural or operational weaknesses in the platform and deliver effective, well-engineered solutions.
- Build and maintain robust data validation, storage, and quality-control pipelines for large-scale financial datasets.
- Diagnose and resolve system issues, manage production incidents, and oversee the controlled release of fixes and feature enhancements.
Requirements
- Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or another STEM discipline.
- Strong programming capability in Python, with an emphasis on writing clean, reliable, and maintainable code.
- Experience working with databases and large, complex datasets.
- Clear and effective communication skills, with the ability to collaborate across technical and non-technical stakeholders.
- Demonstrated ownership mindset, comfortable working independently as well as within a small, high-performing team.
- High level of motivation and genuine enthusiasm for quantitative finance and systematic trading.
- Exposure to equity derivatives and volatility products is advantageous but not required.
- Uncompromising commitment to integrity and the highest ethical standards.
Quantitative Developer employer: Bowden Brown
Contact Detail:
Bowden Brown Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that Quantitative Developer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to quantitative finance or trading systems. This gives potential employers a taste of what you can bring to the table, and we love seeing practical examples of your work.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills, especially in Python. Practice solving problems on platforms like LeetCode or HackerRank. We want you to feel confident and ready to tackle any challenge thrown your way!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate candidates who are eager to make an impact in the world of quantitative finance.
We think you need these skills to ace Quantitative Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Quantitative Developer role. Highlight your programming prowess in Python and any relevant projects you've worked on, especially those involving equities or derivatives.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative finance and how your background makes you a perfect fit for our systematic investment team. Keep it concise but impactful!
Showcase Your Problem-Solving Skills: In your application, don’t shy away from sharing examples of how you've tackled complex problems in past projects. We love seeing candidates who can think critically and come up with innovative solutions, especially in high-pressure situations.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at StudySmarter!
How to prepare for a job interview at Bowden Brown
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss your coding practices. Be prepared to explain how you've written clean, reliable code in past projects, as this will show your technical prowess and attention to detail.
✨Understand the Trading Landscape
Familiarise yourself with equities and equity derivatives, even if you don't have direct experience. Being able to discuss current trends or recent developments in quantitative finance will demonstrate your enthusiasm and commitment to the field.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've identified and resolved system issues in previous roles. This will highlight your proactive mindset and ability to maintain operational stability, which is crucial for a Quantitative Developer.
✨Communicate Effectively
Practice explaining complex technical concepts in simple terms. Since you'll be collaborating with both technical and non-technical stakeholders, showcasing your communication skills will set you apart and show that you can bridge the gap between teams.