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- Tasks: Develop and maintain cutting-edge quantitative models for trading systems.
- Company: Join a leading firm at the intersection of digital assets and finance.
- Benefits: Flexible working, professional growth, and a collaborative culture.
- Why this job: Make a real impact in a fast-paced, innovative trading environment.
- Qualifications: Postgraduate degree and 10+ years in quantitative development required.
- Other info: Be part of a high-performance team that values your voice and ideas.
The predicted salary is between 48000 - 72000 £ per year.
We’re partnering with a leading global firm operating at the intersection of digital assets and traditional finance. Their mission is to build trusted, scalable, and innovative products that make complex markets more accessible, efficient, and transparent.
Having successfully navigated multiple market cycles, the firm is now expanding its quantitative engineering capability, developing advanced pricing engines and analytics to support an expanding derivatives and structured products portfolio. This is an opportunity to work on high-impact trading systems alongside world-class engineers, quants, and traders in a fast-paced, intellectually demanding environment.
We’re seeking a Quantitative Developer / Analyst to join a front-office quant team responsible for designing and maintaining proprietary pricing and risk models for exotic derivatives. You’ll work hands-on across the full lifecycle, model research, implementation, calibration, optimisation, and integration into the firm’s pricing infrastructure.
Key Responsibilities- Develop and maintain quantitative model libraries for use by the front-office trading desk
- Implement and calibrate pricing models for exotic and structured products across dynamic market conditions
- Build infrastructure components, adaptors, gateways, and interfaces, to support pricing, risk management, and trade execution
- Collaborate with traders, quants, and engineers to design novel pricing models for complex derivatives markets
- Produce technical documentation, research papers, and validation reports on model design and performance
- Provide mentorship to junior quants and contribute to a culture of innovation and technical excellence
- Postgraduate degree (MSc or PhD) in Mathematics, Physics, Engineering, or Quantitative Finance
- 10+ years’ experience in quantitative development, with strong programming expertise in C++ or C#
- Deep understanding of derivatives pricing and risk management, including stochastic calculus and stochastic processes
- Proficiency with numerical methods such as Monte Carlo simulation, PDE (Finite Difference / Finite Element), Tree engines, and random number generation
- Strong software engineering skills — including data structures, design patterns, and modular architecture
- Excellent problem-solving ability, attention to detail, and comfort working in a high-performance trading environment
- Clear communication skills, able to explain complex models to non-technical stakeholders
You’ll be joining a tightly knit, high-performance team that values autonomy, collaboration, and depth of thought. Everyone’s voice is heard, from graduate quants to senior engineers. Performance and impact are what matter most. The culture rewards technical excellence, curiosity, and continuous improvement, while maintaining a relaxed, informal working environment. Flexible working arrangements are supported, with a focus on long-term professional growth and learning.
Interested? Message Ryan Quinn on LinkedIn for a confidential discussion, or apply directly with your CV.
Quantitative Developer employer: Ocho
Contact Detail:
Ocho Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at OCHO or similar firms. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or contributions to open-source, make sure to highlight them. It’s a great way to demonstrate your programming expertise and problem-solving abilities.
✨Tip Number 3
Prepare for technical interviews by brushing up on your quantitative finance knowledge and coding skills. Practice explaining complex models clearly, as 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. Plus, it shows you're genuinely interested in joining our team at OCHO.
We think you need these skills to ace Quantitative Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Quantitative Developer role. Highlight your programming expertise in C++ or C#, and any relevant experience with derivatives pricing and risk management.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about quantitative development. Share specific examples of your work on pricing models or your experience in high-performance trading environments to grab our attention.
Showcase Your Problem-Solving Skills: In your application, don’t shy away from discussing complex problems you've tackled in the past. We love seeing how you approach challenges, especially in quantitative finance, so give us the details!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Ocho
✨Know Your Models Inside Out
Make sure you have a solid grasp of the quantitative models you'll be discussing. Be prepared to explain your thought process behind model design and implementation, especially for exotic derivatives. Brush up on stochastic calculus and numerical methods, as these will likely come up in conversation.
✨Showcase Your Programming Skills
Since strong programming expertise in C++ or C# is crucial, be ready to discuss your coding experience. Bring examples of past projects where you've implemented pricing models or built infrastructure components. If possible, prepare to solve a coding challenge during the interview to demonstrate your skills.
✨Communicate Clearly and Confidently
You’ll need to explain complex concepts to non-technical stakeholders, so practice articulating your ideas clearly. Use simple language when necessary and avoid jargon unless you're sure everyone understands it. This will show that you can bridge the gap between technical and non-technical team members.
✨Emphasise Collaboration and Mentorship
The role involves working closely with traders, quants, and engineers, so highlight your teamwork experiences. Discuss any mentorship roles you've had, as this aligns with the company culture of innovation and technical excellence. Show that you value collaboration and are eager to contribute to a supportive team environment.
