At a Glance
- Tasks: Develop and optimise models for bond trading and automate ETF processes.
- Company: Join a leading global investment bank known for innovation in fixed income trading.
- Benefits: Enjoy competitive pay, career growth, and work in London’s financial hub.
- Why this job: Work with top talent on impactful projects in a dynamic, collaborative environment.
- Qualifications: Strong Python skills required; C++ experience and analytics background preferred.
- Other info: This role is perfect for those passionate about coding and quantitative finance.
The predicted salary is between 43200 - 72000 £ per year.
Join a world-class team at a leading global investment bank, where innovation meets execution at the cutting edge of fixed income trading. We’re looking for exceptional quantitative developers to help shape the future of bond portfolio analytics, quoting strategies, and ETF create/redeem automation. If you thrive at the intersection of quantitative modeling, high-performance coding, and trading infrastructure, this is your calling.
What you’ll do:
- Build and optimize models for bond portfolio trading and quoting
- Develop intelligent systems for fixed income ETF automation
- Apply operations research and optimization techniques to solve real-world trading challenges
- Work side-by-side with quants, traders, and technologists in a dynamic, fast-paced environment
You should bring:
- Strong experience in Python (a must); C++ a plus
- Background in analytics/modeling for fixed income markets
- Exposure to optimization, operations research, or related fields
- A passion for high-quality code and elegant solutions
What you can expect:
- Be at the forefront of technology in one of the world’s premier investment banks
- Tackle complex, high-impact problems in a collaborative team
- Competitive compensation and career growth in the heart of London’s financial hub
Apply now or get in touch to learn more.
VP Quant Developer – Fixed Income, Investment Bank employer: Barclay Simpson
Contact Detail:
Barclay Simpson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP Quant Developer – Fixed Income, Investment Bank
✨Tip Number 1
Network with professionals in the investment banking and quantitative development fields. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about the latest trends in fixed income trading.
✨Tip Number 2
Familiarise yourself with the latest tools and technologies used in quantitative finance, especially those related to Python and C++. Demonstrating your knowledge of these tools during interviews can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss real-world applications of your skills in bond portfolio analytics and ETF automation. Think of specific examples where you've successfully applied quantitative modelling or optimisation techniques to solve complex problems.
✨Tip Number 4
Showcase your passion for high-quality code by contributing to open-source projects or creating your own coding portfolio. This not only demonstrates your technical skills but also your commitment to continuous learning and improvement.
We think you need these skills to ace VP Quant Developer – Fixed Income, Investment Bank
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Python and any relevant work in fixed income markets. Emphasise your quantitative modelling skills and any exposure to operations research or optimisation techniques.
Craft a Compelling Cover Letter: In your cover letter, express your passion for high-quality code and elegant solutions. Mention specific projects where you've built or optimised models for trading, and how you thrive in collaborative environments.
Showcase Relevant Projects: If you have worked on projects related to bond portfolio analytics or ETF automation, include these in your application. Detail your role, the technologies used, and the impact of your contributions.
Highlight Team Collaboration: Since the role involves working closely with quants, traders, and technologists, mention any previous experiences where you collaborated with cross-functional teams. This will demonstrate your ability to thrive in a dynamic, fast-paced environment.
How to prepare for a job interview at Barclay Simpson
✨Showcase Your Technical Skills
Make sure to highlight your strong experience in Python during the interview. Be prepared to discuss specific projects where you've applied your coding skills, especially in the context of fixed income markets.
✨Demonstrate Your Analytical Thinking
Prepare to discuss your background in analytics and modelling for fixed income markets. Think of examples where you've used operations research or optimisation techniques to solve real-world trading challenges.
✨Emphasise Collaboration
Since the role involves working closely with quants, traders, and technologists, be ready to share experiences that demonstrate your ability to collaborate effectively in a fast-paced environment.
✨Passion for Quality Code
Express your passion for writing high-quality code and elegant solutions. You might want to discuss your approach to coding standards and how you ensure your work is both efficient and maintainable.