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- 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, dynamic work culture, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make a real impact in the finance world.
- Qualifications: Strong C++ and Python skills, with a solid quantitative foundation and equity derivatives experience.
- Other info: Mid-senior level role with direct collaboration with traders.
The predicted salary is between 36000 - 60000 £ 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) 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)
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend industry meetups or webinars where you can chat with professionals who might know about openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your C++ and Python projects, especially those related to equity derivatives. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your quantitative skills and coding challenges. Practice common algorithms and data structures that are relevant to low-latency trading environments.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Low-Latency Equities Quant Developer (C++, Python)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your C++ and Python skills right from the get-go. We want to see how your technical expertise aligns with the role, so don’t hold back on showcasing your projects or experiences that demonstrate your coding prowess.
Quantitative Foundation Matters: Since this role is all about quantitative development, it’s crucial to mention any relevant coursework or experience you have in quantitative analysis. We’re looking for candidates who can bring a solid understanding of equity derivatives to the table.
Collaborative Spirit: This position involves working closely with traders, so let us know about your teamwork experiences. Share examples where you’ve collaborated effectively in a fast-paced environment, as we value communication and collaboration highly at StudySmarter.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
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 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 someone who understands the business side of things too.
✨Prepare for Problem-Solving Questions
Expect to tackle some technical problems during the interview. Practice coding challenges that focus on optimising algorithms or enhancing risk infrastructure. This will demonstrate your quantitative skills and your ability to think on your feet.
✨Show Your Collaborative Spirit
Since this role involves working closely with traders, be prepared to discuss how you’ve collaborated with others in the past. Share examples of how you’ve communicated complex ideas clearly and effectively, as teamwork is key in this fast-paced environment.
