Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Enhance pricing models and optimise risk infrastructure in a fast-paced trading environment.
- Company: Leading financial consultancy with a focus on innovation and collaboration.
- Benefits: Competitive contract salary and the chance to work directly with traders.
- Why this job: Join a dynamic team and make a real impact in the world of finance.
- Qualifications: Strong C++ and Python skills, plus a solid quantitative foundation.
- Other info: Mid-senior level role with exciting challenges and growth opportunities.
The predicted salary is between 42000 - 84000 £ per year.
A leading financial consultancy is seeking a Front Office Equities Quantitative Developer with strong C++ and Python skills. The ideal candidate will have a solid quantitative foundation and experience in equity derivatives, and will collaborate directly with traders to enhance pricing models. This mid-senior level role offers contract employment in a fast-paced trading environment, focusing on optimizing pricing and risk infrastructure.
Low-Latency Equities Quant Developer (C++, Python) in England employer: Quanteam UK
Contact Detail:
Quanteam UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Low-Latency Equities Quant Developer (C++, Python) in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Tip Number 2
Prepare for those technical interviews! Brush up on your C++ and Python skills, and be ready to tackle some coding challenges. We recommend practicing with real-world problems related to equity derivatives to show off your quantitative prowess.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant projects or have experience enhancing pricing models, make sure to highlight them during interviews. We want to see how you can bring value to the team!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We’re always on the lookout for talented individuals who can thrive in a fast-paced trading environment.
We think you need these skills to ace Low-Latency Equities Quant Developer (C++, Python) in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your C++ and Python skills prominently. We want to see how your experience aligns with the role, especially in equity derivatives and quantitative analysis.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background makes you a perfect fit for enhancing pricing models in a fast-paced trading environment.
Showcase Relevant Projects: If you've worked on any projects related to pricing models or risk infrastructure, be sure to mention them. We love seeing practical examples of your skills in action!
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 this exciting opportunity!
How to prepare for a job interview at Quanteam UK
✨Know Your Tech Inside Out
Make sure you brush up on your C++ and Python skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in relation to equity derivatives. They’ll likely want to see how you can apply your technical knowledge in a fast-paced trading environment.
✨Understand the Trading Landscape
Familiarise yourself with current trends in equity derivatives and pricing models. Being able to discuss recent developments or challenges in the market will show that you're not just a coder but also understand the business side of things. This will help you connect better with the traders you'll be collaborating with.
✨Prepare for Problem-Solving Questions
Expect to face some technical problem-solving questions during the interview. Practice coding challenges that focus on low-latency systems and optimising algorithms. This will demonstrate your ability to think critically and solve problems under pressure, which is crucial in a trading environment.
✨Showcase Your Collaboration Skills
Since this role involves working directly with traders, be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked with non-technical teams to enhance models or systems. This will highlight your ability to communicate complex ideas clearly and effectively.
