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For Companies At a Glance
- Tasks: Design and implement innovative frameworks for portfolio construction and risk analysis.
- Company: Globally recognised investment house with a focus on quantitative strategy.
- Benefits: Collaborative environment, exposure to global markets, and opportunities for professional growth.
- Why this job: Make a real impact on investment strategies using cutting-edge quantitative research.
- Qualifications: Degree in a quantitative field and proficiency in programming languages like Python.
- Other info: Join a high-performing team driving innovation in investment processes.
The predicted salary is between 36000 - 60000 £ per year.
A globally recognised investment house is looking to add an Associate / Senior Associate to its Quantitative Strategy team within Fixed Income. The team plays a central role in driving research and innovation across the platform, building tools and frameworks that directly influence portfolio decisions, asset allocation, and risk oversight.
This position sits at the core of the investment process—combining data science, market insight, and quantitative research to refine how capital is deployed across global markets. You’ll be part of a forward-looking, collaborative environment where ideas move quickly from research to real-world application.
The Role
You’ll contribute to the design and implementation of portfolio construction and asset allocation frameworks, as well as multi-factor risk and signal models that guide investment strategy.
The team’s remit spans all major fixed income markets—credit, rates, and FX—and works closely with PMs and risk teams to turn quantitative insights into actionable trades. It’s an opportunity to work on complex market challenges, build scalable research infrastructure, and see the direct impact of your work on investment outcomes.
Core Responsibilities
Develop and enhance systematic frameworks for portfolio construction, asset allocation, and risk analysis.
Build and maintain factor-based and multi-asset risk models.
Partner with portfolio managers, traders, and risk specialists to translate data-driven research into investment strategies.
Create and optimise analytical tools and platforms in Python or similar programming languages.
Contribute to ongoing innovation across the firm’s quantitative research efforts.
Your Background
Degree in a quantitative field such as Mathematics, Engineering, Physics, Computer Science, or Finance.
Proficient in Python, C++, or Java, with hands-on experience developing quantitative tools or analytics.
Strong analytical and problem-solving skills, with a rigorous approach to modelling and data.
Excellent communication skills, capable of articulating complex ideas clearly to non-technical audiences.
Team-oriented, motivated, and intellectually curious.
Desirable Experience
MSc or PhD in a quantitative discipline.
Knowledge of statistical modelling methods ( optimization, PCA, regression, classification).
Familiarity with factor-based or structured product modelling, or experience using Monte Carlo simulations.
Exposure to global fixed income or multi-asset markets.
Evidence of independent research and contribution to quantitative investment frameworks.
This is an exciting opportunity to join a high-performing investment platform where quantitative innovation is at the heart of the investment process. You’ll work alongside experienced investors and researchers to develop strategies that shape how the firm views and allocates risk across global markets.
Apply via
Associate / Senior Associate – Quantitative Strategist Leading Global Investment Manager | London employer: Octavius Finance
Contact Detail:
Octavius Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate / Senior Associate – Quantitative Strategist Leading Global Investment Manager | London
✨Tip Number 1
Network like a pro! Reach out to professionals in the investment and quantitative strategy space. Use platforms like LinkedIn to connect with people at the firm you're eyeing. A friendly chat can sometimes lead to insider info or even a referral!
✨Tip Number 2
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your analytical projects. We recommend having a few examples of how you've tackled complex problems using data science techniques—this will show you’re the real deal.
✨Tip Number 3
Showcase your passion for quantitative research! When you get the chance, share your thoughts on recent market trends or innovations in quantitative strategies. This not only demonstrates your knowledge but also your enthusiasm for the field.
✨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, it shows you’re serious about joining our team and contributing to our innovative approach in the investment world.
We think you need these skills to ace Associate / Senior Associate – Quantitative Strategist Leading Global Investment Manager | London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role. Highlight your quantitative background and any relevant projects you've worked on, especially those involving Python or data analysis.
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 achievements and how they relate to the responsibilities outlined in the job description.
Showcase Your Technical Skills: Since this role involves programming and quantitative analysis, be sure to mention your proficiency in Python, C++, or Java. If you've developed any tools or models, give us a sneak peek into those experiences!
Apply Through Our Website: We encourage you to apply directly 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!
How to prepare for a job interview at Octavius Finance
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative skills and knowledge. Be ready to discuss statistical modelling methods, like regression or PCA, and how they apply to portfolio construction. This is your chance to show off your analytical prowess!
✨Showcase Your Programming Skills
Since proficiency in Python, C++, or Java is key, prepare to talk about your experience with these languages. Bring examples of analytical tools or frameworks you've developed, and be ready to explain your thought process behind them.
✨Communicate Clearly
You’ll need to articulate complex ideas to non-technical audiences, so practice explaining your past projects in simple terms. Think about how you can convey your insights effectively, especially when discussing data-driven research and investment strategies.
✨Be Team-Oriented and Curious
This role is all about collaboration, so highlight your teamwork experiences. Share examples of how you've partnered with others to turn quantitative insights into actionable trades, and express your eagerness to learn and innovate within the team.
