Quantitative Analyst/Researcher, Fixed Income, Global Asset Manager

Quantitative Analyst/Researcher, Fixed Income, Global Asset Manager

Full-Time 60000 - 80000 € / year (est.) No home office possible
L

At a Glance

  • Tasks: Design and maintain models to support investment decisions in fixed income and derivatives.
  • Company: Global asset manager with a focus on innovation and collaboration.
  • Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
  • Other info: Join a team that values analytical thinking and offers excellent career advancement.
  • Why this job: Make an impact in finance by developing cutting-edge quantitative tools and models.
  • Qualifications: Experience in quantitative analysis and strong coding skills in MATLAB/Python/SQL.

The predicted salary is between 60000 - 80000 € per year.

Our client is a global asset manager seeking a Fixed Income-focused Quantitative Analyst in London. The role develops models and tools that directly support front-office investment across rates, credit, FX and derivatives. It combines portfolio construction, valuation, risk and performance attribution with hands-on coding and stakeholder engagement.

Responsibilities

  • Design and maintain quantitative infrastructure and models to inform front-office decisions across fixed income, FX and derivatives.
  • Create and refine portfolio optimisation and construction tools (e.g., Black-Litterman).
  • Build risk, valuation and performance attribution frameworks for the front office.
  • Transition Excel/VBA workflows to scalable MATLAB/Python/SQL implementations.
  • Provide robust analysis and clear narratives for high-profile institutional presentations.
  • Work with PMs, systems analysts and developers to enhance tools and data pipelines.
  • Deliver ad-hoc quantitative research to portfolio managers and clients.

Requirements

  • Proven front-office quant or closely related experience.
  • Track record delivering portfolio optimisation, risk and performance attribution models.
  • Experience writing production-quality code and improving model infrastructure.
  • Solid understanding of fixed income, currencies and derivatives.
  • Analytical, detail-focused thinker with a first-principles approach.
  • Clear communicator; collaborative and able to work autonomously.

Quantitative Analyst/Researcher, Fixed Income, Global Asset Manager employer: Logansinclair

As a leading global asset manager based in London, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our employees benefit from competitive compensation, comprehensive professional development opportunities, and the chance to work alongside industry experts in a vibrant financial hub. Join us to make a meaningful impact in the world of fixed income investment while enjoying the unique advantages of working in one of the world's most exciting cities.

L

Contact Detail:

Logansinclair Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Quantitative Analyst/Researcher, Fixed Income, Global Asset Manager

Tip Number 1

Network like a pro! Reach out to professionals in the fixed income space 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 coding projects. This is your chance to demonstrate your expertise in MATLAB, Python, or SQL, and we all know actions speak louder than words.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common quant interview questions and even doing mock interviews with friends to build confidence.

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 talented individuals who are ready to make an impact in the asset management world.

We think you need these skills to ace Quantitative Analyst/Researcher, Fixed Income, Global Asset Manager

Quantitative Analysis
Model Development
Portfolio Optimisation
Valuation Frameworks
Risk Attribution
Performance Attribution
Excel/VBA

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to highlight your experience in fixed income and quantitative analysis. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or tools you've worked on!

Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for quantitative research and how your background makes you a strong candidate. Keep it concise but impactful!

Showcase Your Coding Skills:Since coding is a big part of this role, make sure to mention your experience with MATLAB, Python, or SQL. If you’ve transitioned workflows from Excel/VBA, let us know! We love seeing practical examples of your coding prowess.

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’s super easy – just a few clicks and you’re done!

How to prepare for a job interview at Logansinclair

Know Your Models Inside Out

Make sure you’re well-versed in the quantitative models and tools relevant to fixed income, FX, and derivatives. Be prepared to discuss your experience with portfolio optimisation and performance attribution frameworks, as well as any specific models you've developed or worked with.

Show Off Your Coding Skills

Since coding is a big part of this role, brush up on your MATLAB, Python, and SQL skills. Be ready to talk about your experience transitioning workflows from Excel/VBA to these languages, and maybe even prepare to solve a coding problem during the interview.

Communicate Clearly and Confidently

As a Quantitative Analyst, you'll need to present complex analyses clearly. Practice explaining your past projects and findings in simple terms, focusing on how they impacted front-office decisions. This will show that you can communicate effectively with stakeholders.

Prepare for Scenario-Based Questions

Expect questions that assess your analytical thinking and problem-solving abilities. Think through potential scenarios related to risk management or portfolio construction, and be ready to explain your thought process and the rationale behind your decisions.