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For Companies 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 environment, and opportunities for professional growth.
- Why this job: Make a real impact on live portfolios while working with innovative technology.
- Qualifications: Degree in STEM, strong Python skills, and a passion for quantitative finance.
- Other info: Collaborative team culture with a focus on integrity and high ethical standards.
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 in London employer: Bowden Brown
Contact Detail:
Bowden Brown Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer in London
✨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 quantitative finance or trading systems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills, especially in Python. Practice solving problems and be ready to discuss your thought process during interviews—it's all about demonstrating your analytical mindset!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Quantitative Developer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your programming skills, especially in Python, and any experience with quantitative finance. We want to see how your background aligns with the role of a Quantitative Developer, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about systematic trading and how your skills can contribute to our team. We love seeing genuine enthusiasm, so let that passion come through in your writing.
Showcase Your Problem-Solving Skills: In your application, highlight instances where you've identified and solved complex problems, especially in software development or data management. We’re looking for candidates who can proactively tackle challenges, so share those experiences!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on 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. Prepare 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
Be prepared to tackle hypothetical scenarios or case studies during the interview. Think about how you would identify and resolve system issues or enhance the performance of a trading platform, as this will highlight your analytical thinking and ownership mindset.
✨Communicate Effectively
Practice articulating complex technical concepts in simple terms. Since you'll be collaborating with both technical and non-technical stakeholders, showcasing your communication skills will be key to demonstrating that you can bridge the gap between teams.
