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- Tasks: Design and implement cutting-edge pricing models for commodities derivatives.
- Company: Join a leading Global Investment Bank with a high-performing Commodities team.
- Benefits: Competitive salary, full-time role, and opportunities for professional growth.
- Why this job: Make a real impact with sophisticated quantitative models in a dynamic environment.
- Qualifications: Advanced degree in a quantitative field and strong C++ and Python skills required.
- Other info: Collaborate closely with traders and risk managers for model-driven solutions.
The predicted salary is between 36000 - 60000 £ per year.
Our client is a leading Global Investment Bank looking to recruit a Quantitative Analyst to join a high-performing Commodities team. This is a mid-to-senior level opportunity focused on building and enhancing derivatives pricing and volatility modelling capabilities. The role sits close to trading and risk, delivering analytics used across a global commodities platform. You’ll work on sophisticated quantitative models with real commercial impact. Ideal for a quant who combines strong financial theory with production-grade C++ and Python development skills.
Key Responsibilities- Design, implement, and maintain pricing and risk models for a broad range of commodities derivatives.
- Develop and calibrate volatility surfaces and advanced volatility models.
- Build scalable, high-performance pricing libraries and quantitative analytics platforms.
- Partner closely with traders, structurers, and risk managers to deliver model-driven solutions.
- Write robust, production-quality code in C++ and Python to support trading and risk workflows.
- Produce clear and comprehensive model documentation for governance and regulatory purposes.
- Collaborate with model validation and risk control teams through the full model lifecycle.
- Advanced degree (MSc or PhD) in a quantitative discipline such as Mathematics, Physics, Computer Science, or Financial Engineering.
- Professional experience in quantitative analytics or quantitative development within financial services or a related field.
- Strong background in derivatives pricing, ideally in commodities, though FX, equities, or other complex asset classes are also relevant.
- Solid understanding of volatility modelling and derivative pricing theory.
- Proven proficiency in C++ and Python for numerical modelling and analytics development.
- Experience working within structured software development environments (version control, CI/CD, testing frameworks).
- Strong analytical skills, attention to detail, and the ability to communicate complex concepts effectively.
If you’re interested in finding out more please apply today!
Quantitative Analyst employer: JCW Group
Contact Detail:
JCW Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at investment banks or in quantitative roles. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or GitHub repositories showcasing your C++ and Python prowess, make sure to highlight them during interviews. Real-world examples can set you apart from the competition.
✨Tip Number 3
Prepare for technical interviews by brushing up on your derivatives pricing and volatility modelling knowledge. Practice coding challenges related to quantitative analysis to demonstrate your problem-solving skills under pressure.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for talented quants like you to join our team!
We think you need these skills to ace Quantitative Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Analyst role. Highlight your experience with derivatives pricing and your coding skills in C++ and Python. We want to see how your background aligns with what we're looking for!
Showcase Your Projects: Include any relevant projects or experiences that demonstrate your quantitative modelling skills. If you've built pricing libraries or worked on volatility models, let us know! Real-world examples can really make your application stand out.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Be sure to express your passion for quantitative analysis and how you can contribute to our high-performing Commodities team. Keep it concise but impactful!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to track your application better. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at JCW Group
✨Know Your Quantitative Stuff
Make sure you brush up on your financial theory and quantitative models. Be ready to discuss derivatives pricing and volatility modelling in detail, as these are key areas for the role. Practise explaining complex concepts in a simple way, as communication is crucial.
✨Show Off Your Coding Skills
Since the job requires strong C++ and Python skills, be prepared to demonstrate your coding abilities. You might be asked to solve a problem or even write some code during the interview. Have examples of your past projects ready to showcase your production-quality code.
✨Understand the Business Context
Familiarise yourself with the commodities market and how quantitative analysis impacts trading and risk management. Being able to connect your technical skills to real-world applications will impress the interviewers and show that you understand the business side of things.
✨Prepare for Collaboration Questions
Since you'll be working closely with traders and risk managers, expect questions about teamwork and collaboration. Think of examples from your past experiences where you successfully partnered with others to deliver model-driven solutions. Highlight your ability to communicate effectively across different teams.
