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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.
The predicted salary is between 60000 - 80000 £ 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 in City of Westminster 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 in City of Westminster
✨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 recommend doing mock interviews with friends or mentors to get comfortable.
✨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 on the lookout for passionate candidates who are ready to make an impact in the world of finance.
We think you need these skills to ace Quantitative Analyst/Researcher, Fixed Income, Asset Management, London in City of Westminster
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.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your skills align with our needs. Don't forget to mention specific projects or experiences that showcase your analytical abilities.
Showcase Your Technical Skills: Since we're looking for someone proficient in tools like SQL and VBA, make sure to include examples of how you've used these in past roles. If you've migrated processes or built models, share those stories to demonstrate your hands-on experience.
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!
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 portfolio optimisation models like Black-Litterman, and how you've applied them in real-world scenarios.
✨Show Off Your Coding Skills
Since the role requires proficiency in MATLAB, Python, and SQL, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, production-quality code that showcases your understanding of data structures and algorithms.
✨Communicate Clearly
As a quantitative analyst, you'll need to explain complex concepts to non-technical stakeholders. Practice articulating your thought process and findings clearly. Use examples from your past work to illustrate how you’ve successfully communicated rigorous analysis to portfolio managers or clients.
✨Understand the Financial Landscape
Familiarise yourself with current trends in financial markets, especially in fixed income and derivatives. Being able to discuss recent developments or challenges in these areas will show your passion and understanding of the industry, making you a more attractive candidate.