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For Companies At a Glance
- Tasks: Design and enhance quantitative models for investment and risk management decisions.
- Company: Leading global asset management firm with a focus on innovation.
- Benefits: Competitive salary, collaborative culture, and opportunities for professional growth.
- Why this job: Make a real impact on investment strategies using cutting-edge quantitative methods.
- Qualifications: Degree in a quantitative field and proficiency in programming languages like Python.
- Other info: Join a research-driven team where your work shapes investment outcomes.
The predicted salary is between 36000 - 60000 £ per year.
A leading global asset manager is seeking an Associate / Senior Associate to join its Quantitative Modeling team within Fixed Income. The group is responsible for developing and maintaining the firm’s core modelling frameworks—tools that underpin portfolio construction, asset allocation, and risk assessment across global markets.
This role sits at the intersection of quantitative research and investment decision-making. The successful candidate will focus on building, validating, and enhancing models that capture market dynamics, price risk, and inform systematic portfolio strategies. It’s an opportunity to work in a highly analytical environment where modelling excellence drives investment performance.
The Role
You will play a key role in designing, implementing, and refining quantitative models that directly support investment and risk management decisions. The work spans signal development, portfolio construction, and cross-asset risk modelling, with close collaboration across portfolio management, trading, and risk teams.
This is a hands-on modelling role requiring strong programming and analytical skills, and the ability to translate complex quantitative concepts into practical investment applications.
Core Responsibilities
- Design and enhance models for portfolio construction, factor analysis, and asset allocation.
- Build, test, and maintain multi-factor and multi-asset risk models across fixed income, credit, and FX.
- Conduct statistical and econometric modelling to evaluate signals, performance attribution, and market dynamics.
- Develop scalable tools and analytical infrastructure using Python or similar programming languages.
- Collaborate with PMs and risk specialists to integrate quantitative insights into investment processes.
- Support ongoing research and model validation initiatives across the quant platform.
Your Background
- Degree in a quantitative discipline (e.g. Mathematics, Physics, Engineering, Computer Science, Finance).
- Proficiency in Python, C++, or Java, with experience in quantitative modelling or analytics development.
- Strong quantitative reasoning and problem-solving abilities with a focus on model design and implementation.
- Excellent communication and collaboration skills; able to explain technical outputs to investment stakeholders.
- Curious, detail-oriented, and motivated to build robust, high-impact models.
Desirable Experience
- MSc or PhD in a quantitative field.
- Experience applying statistical or econometric methods such as regression, PCA, optimization, or machine learning.
- Familiarity with Monte Carlo simulations, factor modelling, or structured product valuation.
- Exposure to global fixed income or multi-asset investment strategies.
- Evidence of independent research or contribution to quantitative frameworks in a professional or academic context.
This is an outstanding opportunity to join a world-class investment organisation where modelling and quantitative innovation are central to how the firm allocates capital and manages risk. You’ll be part of a collaborative, research-driven culture where your models will directly shape investment outcomes.
Apply via quantresearch@octaviusfinance.com
Quantitative Modeler – Associate / Senior Associate Global Asset Management Firm | London employer: Octavius Finance
Contact Detail:
Octavius Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Modeler – Associate / Senior Associate Global Asset Management Firm | 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 and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative models and analyses. This is your chance to demonstrate your programming prowess and analytical thinking, so make it shine!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your modelling experience. Practise explaining complex concepts in simple terms – it’ll impress the hiring managers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Quantitative Modeler – Associate / Senior Associate Global Asset Management Firm | London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Quantitative Modeler role. Highlight your programming skills in Python, C++, or Java, and any relevant quantitative modelling experience. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative modelling and how your background makes you a great fit for the role. Don’t forget to mention any specific projects or achievements that showcase your analytical skills.
Showcase Your Analytical Skills: In your application, be sure to highlight your problem-solving abilities and any experience with statistical or econometric methods. We love candidates who can translate complex concepts into practical applications, so give us examples of how you've done this in the past!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Octavius Finance
✨Know Your Models Inside Out
Make sure you can discuss the quantitative models you've worked on in detail. Be prepared to explain your thought process behind model design, implementation, and validation. This will show your depth of understanding and ability to apply complex concepts practically.
✨Brush Up on Programming Skills
Since this role requires strong programming skills, especially in Python, C++, or Java, ensure you're comfortable coding on the spot. Practise writing code snippets that demonstrate your ability to build and test models, as you might be asked to solve a problem during the interview.
✨Communicate Clearly
You’ll need to explain technical outputs to investment stakeholders, so practice articulating complex ideas in simple terms. Use examples from your past experiences to illustrate how you've successfully communicated quantitative insights to non-technical audiences.
✨Stay Curious and Engaged
Show your enthusiasm for quantitative modelling and investment strategies by asking insightful questions about the firm's approach to risk management and portfolio construction. This demonstrates your genuine interest in the role and the company, making you a more memorable candidate.
