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- Tasks: Build and optimise frameworks for portfolio risk analysis and analytics.
- Company: Leading Quant Fund with a high-impact risk engineering team.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Why this job: Make a real impact in finance by developing cutting-edge risk solutions.
- Qualifications: Strong Python skills and experience in financial risk systems required.
- Other info: Collaborative culture with a focus on innovation and career advancement.
The predicted salary is between 43200 - 72000 £ per year.
Location: London
About the Role: Quantitative Developer wanted to join a high-impact risk engineering team at a leading Quant Fund. This role focuses on building and optimizing computational frameworks that power portfolio construction, stress testing, and risk decomposition across multi-asset strategies. You will work closely with risk managers and investment teams to deliver actionable insights and production-ready analytics.
Key Responsibilities:
- Build scalable simulations and “what if” scenario engines for portfolio risk analysis
- Develop optimization tools for risk decomposition and portfolio rebalancing
- Enhance and maintain Python-based risk models and analytics libraries
- Support full revaluation pricing models and risk calculations across asset classes
- Partner with risk and front-office teams to deliver production-grade solutions
Hard Requirements:
- Strong programming skills in Python; experience with other languages is a plus
- Proven experience with financial risk systems or portfolio optimization tools
- Deep understanding of pricing, risk modelling, and front-office trade lifecycle
- Ability to build and deploy quantitative models in production environments
- Bachelor’s or Master’s in Computer Science, Engineering, Mathematics, or a related field. PhD is a plus.
Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
Quantitative Developer – Risk & Portfolio Analytics | London employer: Oxford Knight
Contact Detail:
Oxford Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer – Risk & Portfolio Analytics | London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or GitHub repos, make sure to highlight them. Real-world examples of your Python prowess can set you apart.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with risk models and portfolio optimisation. Practice makes perfect!
✨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!
We think you need these skills to ace Quantitative Developer – Risk & Portfolio Analytics | London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Developer role. Highlight your programming skills in Python and any experience with financial risk systems. We want to see how your background aligns with our needs!
Showcase Relevant Projects: Include any projects or experiences that demonstrate your ability to build scalable simulations or optimisation tools. This is your chance to show us what you can do, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about risk engineering and how you can contribute to our team. Be genuine and let your personality shine through – we love to see enthusiasm!
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 it gets into the right hands. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Oxford Knight
✨Know Your Python Inside Out
Since strong programming skills in Python are a must for this role, make sure you brush up on your Python knowledge. Be prepared to discuss specific projects where you've used Python for risk modelling or portfolio optimisation, and don’t shy away from coding challenges during the interview.
✨Understand Financial Risk Systems
Familiarise yourself with financial risk systems and portfolio optimisation tools. Be ready to explain how these systems work and share examples of how you've applied them in real-world scenarios. This will show that you not only have the technical skills but also the industry knowledge.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that test your problem-solving skills. Think about potential 'what if' scenarios related to portfolio risk analysis and be ready to discuss how you would approach building simulations or optimisation tools to address these challenges.
✨Showcase Your Collaboration Skills
This role involves partnering with risk managers and investment teams, so highlight your teamwork experience. Share examples of how you've successfully collaborated with others to deliver production-grade solutions, as this will demonstrate your ability to work effectively in a high-impact environment.
