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- Tasks: Develop models and systems for bond trading and ETF automation.
- Company: Join a leading global investment bank known for innovation in finance.
- 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 environment.
- Qualifications: Strong Python skills required; C++ and fixed income experience preferred.
- Other info: Collaborate closely with quants, traders, and technologists.
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.
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
Showcase your coding skills by contributing to open-source projects or creating your own portfolio of relevant projects. This will demonstrate your proficiency in Python and any additional languages like C++, making you stand out to hiring managers.
✨Tip Number 3
Familiarise yourself with the latest tools and technologies used in quantitative finance, especially those related to bond portfolio analytics and ETF automation. Being knowledgeable about these can give you an edge during interviews.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving and optimisation techniques relevant to fixed income markets. Brush up on your understanding of operations research concepts, as these will likely be discussed during the interview process.
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 any best practices you follow or tools you use to ensure your code is efficient and maintainable.
