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- Tasks: Develop and enhance quantitative models for investment and risk management.
- Company: Leading buy-side firm focused on innovative quantitative strategies.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Join a collaborative team where your analytical skills directly impact investment decisions.
- Qualifications: Degree in a quantitative field and strong programming skills in Python, C++, or Java.
- Other info: Exciting opportunity for career advancement in a high-calibre platform.
The predicted salary is between 36000 - 60000 £ per year.
A large platform buy-side firm is seeking an Associate / Senior Associate to join its Quantitative Strategy team within Fixed Income. This group builds and maintains the key modelling and analytical frameworks that support portfolio construction, asset allocation, and risk evaluation across global markets. This role sits at the intersection of research, engineering, and investment strategy. You’ll contribute to the design and enhancement of models that capture market behaviour, estimate risk, and support both systematic and discretionary investment decisions. It’s a highly analytical environment where technical depth and engineering rigour directly influence performance.
The Role
- You will help develop, implement, and refine quantitative models that feed into investment and risk-management workflows.
- The work spans signal research, portfolio construction, cross-asset risk analytics, and the development of scalable tools used across the platform.
- This is a hands-on role requiring strong programming skills and the ability to translate complex quantitative ideas into production-ready solutions.
- The team is also focused on strengthening its software-engineering capabilities, so familiarity with algorithmic thinking, data structures, and computational complexity is essential.
Core Responsibilities
- Design and improve 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.
- Apply statistical and econometric techniques to evaluate signals, performance attribution, and market dynamics.
- Develop scalable research tools and infrastructure using Python or similar languages.
- Partner with PMs, traders, and risk teams to integrate quantitative insights into the investment process.
- Support broader research, model validation, and platform-wide analytical initiatives.
Your Background
- Degree in a quantitative field (Mathematics, Physics, Engineering, Computer Science, Finance).
- Strong experience with Python, C++, or Java, ideally within a quantitative modelling or analytics environment.
- Solid grasp of software-engineering fundamentals — including time-complexity concepts, data structures, and writing robust, maintainable code.
- Strong quantitative reasoning and problem-solving skills.
- Clear communication, with the ability to present technical outcomes to investment stakeholders.
- Detail-oriented, curious, and motivated to build models that have direct investment impact.
Desirable Experience
- MSc or PhD in a quantitative discipline.
- Experience with regression, PCA, optimisation, machine learning, or related techniques.
- Familiarity with Monte Carlo simulation, factor modelling, or structured-product analytics.
- Exposure to global fixed-income or multi-asset strategies.
- Evidence of independent research or contributions to quantitative frameworks.
This is an exciting opportunity to join a high-calibre platform where quantitative innovation and engineering excellence shape how capital is allocated and risks are managed. Your work will sit at the core of a collaborative, research-driven investment process.
Quantitative Strategist – Associate / Senior Associate Large Platform Buy-Side Firm | London employer: Octavius Finance
Contact Detail:
Octavius Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Strategist – Associate / Senior Associate Large Platform Buy-Side Firm | London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with alumni from your university. Building relationships can open doors that you didn’t even know existed.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative models or any relevant projects. This gives potential employers a taste of what you can bring to the table and makes you stand out.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding market dynamics. Practice explaining complex concepts in simple terms, as clear communication is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Quantitative Strategist – Associate / Senior Associate Large Platform Buy-Side Firm | London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role of a Quantitative Strategist. Highlight your programming skills, quantitative reasoning, and any relevant projects or research you've done in the field.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about quantitative strategies and how your background makes you a great fit. Be specific about your experiences with Python, C++, or Java, and how they relate to the role.
Showcase Your Analytical Skills: In your application, don’t shy away from showcasing your analytical prowess. Mention any experience with statistical techniques, model development, or risk evaluation that demonstrates your ability to contribute to our team.
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 this exciting opportunity in our Quantitative Strategy 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 how they function, the assumptions behind them, and their impact on investment decisions. This shows your technical depth and understanding of the role.
✨Brush Up on Programming Skills
Since strong programming skills are crucial for this position, practice coding in Python, C++, or Java before the interview. Be ready to solve problems on the spot or discuss your previous projects that involved coding, as this will demonstrate your engineering rigour.
✨Communicate Clearly
You’ll need to present complex ideas to non-technical stakeholders, so practice explaining your work in simple terms. Use examples from your past experiences to illustrate how you’ve successfully communicated technical outcomes to different audiences.
✨Stay Curious and Detail-Oriented
Show your enthusiasm for quantitative research by discussing recent trends or techniques in the field. Prepare questions about the firm’s current projects or challenges they face, which will highlight your curiosity and motivation to contribute meaningfully.
