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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 £ 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 lead to opportunities that aren’t even advertised yet.
✨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 previous 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. Plus, it’s a great way to ensure your application gets the attention it deserves.
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 Quantitative Analyst role. Highlight your relevant experience in building models and working with financial data, and don’t forget to mention your proficiency in MATLAB, Python, or any other tools listed in the job description.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about fixed income and asset management. Share specific examples of how you've used your quantitative skills to solve real-world problems, and show us how you can add value to our team.
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 applications of your skills, especially if they involve portfolio optimisation or risk models!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Logan Sinclair
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative skills, especially in areas like portfolio optimisation and risk models. Be ready to discuss your experience with tools like MATLAB, Python, or SQL, and how you've used them in previous roles.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in your past work and how you tackled them. Use examples that highlight your analytical thinking and ability to reason from first principles, as this is crucial for a role in asset management.
✨Communicate Clearly
Since you'll be presenting complex analyses to portfolio managers and clients, practice explaining your work in simple terms. Think about how you can break down intricate concepts into digestible pieces, showing that you can communicate effectively with non-technical stakeholders.
✨Collaborate and Connect
Demonstrate your ability to work well with others by sharing experiences where you've partnered with PMs or developers. Highlight any successful collaborations that led to improved tools or processes, as teamwork is key in this role.