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- Tasks: Build and enhance quantitative models for investment decisions in fixed income and derivatives.
- Company: Leading asset management firm in the heart of London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Join a dynamic team and make impactful contributions to financial strategies.
- Qualifications: Strong quantitative degree and experience in front-office quant roles required.
The predicted salary is between 60000 - 80000 £ per year.
Responsibilities
- Build and evolve quantitative infrastructure and models to support investment decisions across currencies, fixed income, and derivatives.
- Design, enhance and maintain portfolio optimisation and construction tools (e.g. Black-Litterman).
- Develop front-office risk, valuation and performance attribution frameworks.
- Migrate legacy Excel/VBA processes to robust, scalable solutions (e.g. MATLAB/SQL/Python).
- Support major institutional presentations with rigorous analysis and clear explanations.
- Partner with PMs, system analysts and developers to improve front-office tools and data pipelines.
- Produce and present ad hoc quantitative research to portfolio managers and clients.
Requirements
- Strong quantitative degree (mathematics, physics, statistics or financial engineering).
- Previous directly relevant experience in a front-office quant or similar role.
- Proficiency in two or more of: MATLAB, Python, VBA, JavaScript, SQL/database design.
- Experience delivering portfolio optimisation, risk, and performance attribution models.
- Practical experience building production-quality code and improving model infrastructure.
- Solid understanding of financial markets and fixed income, currencies, and derivatives.
- Analytical, detail-focused thinker who reasons from first principles.
- Clear communicator who collaborates well and can work autonomously.
Quantitative Analyst/Researcher, Fixed Income, Asset Management, London employer: Jobs via eFinancialCareers
Contact Detail:
Jobs via eFinancialCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst/Researcher, Fixed Income, Asset Management, London
✨Tip Number 1
Network like a pro! Reach out to professionals in the asset management field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative models and analyses. This is your chance to demonstrate your expertise in MATLAB, Python, or any other tools you’ve mastered. We love seeing practical examples of your work!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts clearly, as communication is key in this role. We want to see how you can break down your thought process!
✨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 looking for passionate candidates who are eager to contribute to our team.
We think you need these skills to ace Quantitative Analyst/Researcher, Fixed Income, Asset Management, London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your quantitative skills and relevant experience. We want to see how your background in mathematics, physics, or financial engineering aligns with the role. Don’t just list your jobs; show us how you’ve built models or improved processes!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative analysis and how your skills can contribute to our team. Be specific about your experience with tools like MATLAB or Python, and don’t forget to mention any successful projects you've led.
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional setting or during your studies, make sure to include them. We love seeing practical examples of your work, especially if they involve portfolio optimisation or risk models. It gives us a taste of what you can bring to the table!
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 us you’re keen on joining the StudySmarter family!
How to prepare for a job interview at Jobs via eFinancialCareers
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative skills and concepts relevant to the role. Be prepared to discuss your experience with portfolio optimisation, risk models, and any tools you've used like MATLAB or Python. They’ll want to see that you can apply your knowledge practically.
✨Showcase Your Coding Skills
Since coding is a big part of this role, be ready to demonstrate your proficiency in languages like SQL or VBA. You might even be asked to solve a coding problem on the spot, so practice writing clean, efficient code beforehand. It’s all about showing you can build robust solutions!
✨Communicate Clearly
You’ll need to explain complex quantitative concepts to non-technical stakeholders, so practice articulating your thoughts clearly. Use examples from your past work to illustrate your points, and don’t shy away from discussing how you’ve collaborated with portfolio managers or developers.
✨Prepare for Real-World Scenarios
Think about real-world applications of your quantitative skills. Be ready to discuss how you would approach building or enhancing a model for fixed income or derivatives. This shows you can think critically and apply your knowledge to actual investment decisions.