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- Tasks: Develop and enhance Python-based pricing models for trading and risk management.
- Company: Leading commodities trading group with a focus on innovation.
- Benefits: Competitive salary, market-leading bonuses, and hybrid work options.
- Why this job: Make a global impact by influencing critical pricing infrastructure in energy markets.
- Qualifications: 5-10 years in quantitative development and advanced Python skills required.
- Other info: Join a high-performing team with opportunities for career growth and innovation.
The predicted salary is between 80000 - 120000 £ per year.
X4 Engineering are delighted to partner with a leading commodities trading group who are seeking a Quantitative Developer to join their high-performing Pricing & Risk Technology function. The team builds and maintains the core valuation engines that support trading, risk, and quantitative research across energy markets and equities.
In the role, you will drive the development and enhancement of the firm’s Python-based pricing library, the backbone of real-time and end-of-day analytics. You’ll work closely with quants, traders, and risk technologists to deliver fast, accurate, and scalable models for both vanilla and structured derivatives across Oil, Power, Gas, and Equity products.
You will take ownership of implementing complex pricing models, designing calibration routines, integrating market data, and ensuring robust model performance in live trading environments. This position is well suited for someone who blends strong quantitative expertise with production-grade engineering skills and enjoys solving sophisticated modelling challenges.
Key Requirements- 5–10 years’ experience in quantitative development, model engineering, or trading technology.
- Advanced degree (Master’s or PhD) in Mathematics, Physics, Financial Engineering, or a closely related quantitative discipline.
- Advanced Python engineering capability (inc. NumPy/SciPy/Pandas).
- Strong understanding of derivatives pricing theory.
- Background working with commodity or equity options, including structured derivatives.
- Solid understanding of Greeks, risk measures, and valuation impacts in front-office contexts.
- Exposure to cloud compute or CI/CD tooling (AWS, Docker/Kubernetes, Git/Jenkins).
- Experience supporting pricing models in live production environments is highly desirable.
This role offers the opportunity to influence mission-critical pricing infrastructure used globally, while contributing to innovation in modelling, calibration, and performance optimisation. If you're interested in exploring this opportunity, please get in touch or apply directly via the job advert.
Quantitative Developer in City of London employer: X4 Engineering
Contact Detail:
X4 Engineering Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer in City of London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even casual coffee chats. The more people you know, the better your chances of landing that Quantitative Developer role.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your Python projects, especially those related to pricing models or risk management. This will make you stand out when you apply through our website.
✨Ace the Interview
Prepare for technical interviews by brushing up on your quantitative skills and coding challenges. Practice explaining complex concepts clearly, as you'll need to communicate effectively with quants and traders.
✨Follow Up
After interviews, don’t forget to send a thank-you email! It shows your enthusiasm for the role and keeps you fresh in their minds. Plus, it’s a great way to reiterate your interest in the position.
We think you need these skills to ace Quantitative Developer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Developer role. Highlight your experience with Python and any relevant projects that showcase your quantitative skills. We want to see how you fit into our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the energy and commodities sector, and how your background aligns with our needs. Let us know what excites you about this opportunity!
Showcase Your Technical Skills: Don’t forget to highlight your technical skills, especially in Python and any experience with derivatives pricing. We love seeing concrete examples of your work, so feel free to include links to projects or GitHub repositories.
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 the role. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at X4 Engineering
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss specific models you've worked on. Be prepared to explain the mathematics behind your work, especially in relation to derivatives pricing and risk measures.
✨Showcase Your Python Prowess
Since this role heavily relies on Python, make sure you can demonstrate your coding skills. Bring examples of projects where you've used libraries like NumPy, SciPy, or Pandas, and be ready to solve a coding challenge during the interview.
✨Understand the Business
Familiarise yourself with the commodities trading landscape, particularly in energy markets. Knowing how your role fits into the bigger picture will show your enthusiasm and understanding of the industry.
✨Prepare for Technical Questions
Expect deep technical questions about model engineering and production environments. Review concepts related to cloud computing and CI/CD tools, as well as any experience you have with live production support.
