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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 roles required.
The predicted salary is between 60000 - 80000 ÂŁ per year.
Location: London, United Kingdom
Employment type: Permanent, Full time
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: Logan Sinclair
Contact Detail:
Logan Sinclair 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. A friendly chat can open doors that a CV just can't.
✨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, and other tools directly to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past projects and how you’ve tackled challenges in quantitative analysis.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can give you an edge in the hiring process.
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 is tailored to the role of Quantitative Analyst/Researcher. Highlight your relevant experience with quantitative models, programming languages like MATLAB and Python, and any work you've done in fixed income or asset management.
Showcase Your Skills: In your application, don’t just list your skills—show us how you’ve used them! Provide examples of projects where you’ve built or improved quantitative models, and explain the impact they had on investment decisions.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about quantitative analysis and how your background makes you a perfect fit for our team. Be sure to mention any specific tools or frameworks you’ve worked with.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to us, so we can review it promptly!
How to prepare for a job interview at Logan Sinclair
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative skills and concepts relevant to fixed income and asset management. Be ready to discuss your experience with models like Black-Litterman and how you've applied them in real-world scenarios.
✨Show Off Your Coding Skills
Since proficiency in MATLAB, Python, and SQL is key, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, efficient code that showcases your understanding of production-quality standards.
✨Communicate Clearly
As a quantitative analyst, you'll need to explain complex ideas simply. Practice articulating your thought process and findings, especially when discussing your previous projects or research. Clear communication can set you apart from other candidates.
✨Understand the Financial Landscape
Familiarise yourself with current trends in financial markets, particularly in fixed income and derivatives. Being able to discuss recent developments or challenges in these areas will show your passion and commitment to the field.