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- Tasks: Research and develop cutting-edge trading strategies using C++ and machine learning.
- Company: Leading proprietary trading firm in the heart of London.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Why this job: Join a fast-paced team and make an impact in the trading world.
- Qualifications: Strong academic background in quantitative fields and C++ proficiency.
- Other info: Exciting projects with a focus on low-latency performance.
The predicted salary is between 43200 - 72000 £ per year.
A leading proprietary trading firm is seeking a skilled C++ Algorithm Developer/Quantitative Researcher in London. This role involves researching and developing quantitative trading strategies, designing low-latency C++ infrastructure, and applying machine learning techniques to market data.
Candidates should have a strong academic background in a quantitative field and proficiency in C++.
This position offers a unique opportunity to work on latency-sensitive projects within a dynamic trading environment.
London-based HFT Futures Quant Researcher (C++ & ML) employer: Thurn Partners
Contact Detail:
Thurn Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land London-based HFT Futures Quant Researcher (C++ & ML)
✨Tip Number 1
Network like a pro! Reach out to folks in the trading and quant community on LinkedIn or at industry events. We can’t stress enough how personal connections can open doors for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your C++ projects and any machine learning models you've developed. This gives us a tangible way to see what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your algorithms and data structures. We recommend practicing coding challenges on platforms like LeetCode or HackerRank to sharpen your skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace London-based HFT Futures Quant Researcher (C++ & ML)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your C++ expertise and any experience with machine learning. We want to see how your skills align with the role, so don’t hold back on showcasing your projects or relevant coursework!
Tailor Your Application: Customise your CV and cover letter to reflect the specifics of the job description. We love seeing candidates who take the time to connect their experiences directly to what we’re looking for in a Quant Researcher.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re a great fit!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Thurn Partners
✨Brush Up on Your C++ Skills
Make sure you're well-versed in C++ before the interview. Review key concepts, algorithms, and data structures that are relevant to low-latency systems. Practising coding problems can help you articulate your thought process during technical questions.
✨Showcase Your Quantitative Background
Prepare to discuss your academic achievements and any relevant projects you've worked on. Be ready to explain how your quantitative skills apply to developing trading strategies and how you've used them in practical scenarios.
✨Familiarise Yourself with Machine Learning Applications
Since the role involves applying machine learning techniques, brush up on the latest ML algorithms and their applications in finance. Be prepared to discuss how you've implemented these techniques in past projects or how you would approach a specific problem.
✨Understand the Trading Environment
Research the proprietary trading firm and its market strategies. Understanding their approach to trading and the challenges they face will help you tailor your responses and demonstrate your genuine interest in the role.
