At a Glance
- Tasks: Research and develop cutting-edge trading strategies using C++ and machine learning.
- Company: Leading proprietary trading firm in a fast-paced environment.
- Benefits: Competitive salary, dynamic work culture, and opportunities for professional growth.
- Other info: Exciting projects with a focus on low-latency solutions.
- Why this job: Join a team where your skills can directly impact trading success.
- Qualifications: Strong academic background in quantitative fields and proficiency in C++.
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
As a leading proprietary trading firm based in London, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. With a strong focus on professional development, we offer extensive growth opportunities and the chance to work on cutting-edge projects that leverage C++ and machine learning in a fast-paced trading environment. Our commitment to employee well-being and a dynamic workplace makes us an exceptional employer for those seeking meaningful and rewarding careers.
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 professionals in the trading and quant research space on LinkedIn. We can leverage our connections to get insights and maybe even referrals that could land us an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your C++ projects and any machine learning models you've developed. This is a great way to demonstrate your expertise and passion for the field.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. We should practice coding challenges that focus on low-latency solutions, as this will be crucial for the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of our applications and follow up easily.
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 best projects!
Tailor Your Application:Customise your CV and cover letter to reflect the specifics of the job description. Mention your experience with quantitative trading strategies and low-latency systems to grab our attention.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant to the role. Make it easy for us to see why you’re a great fit!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Thurn Partners
✨Brush Up on Your C++ Skills
Make sure you're comfortable with advanced C++ concepts, as you'll likely be asked to demonstrate your coding skills. Review key topics like memory management, templates, and concurrency, and be ready to solve problems on the spot.
✨Know Your Quantitative Strategies
Familiarise yourself with various quantitative trading strategies and be prepared to discuss how you would approach developing them. Think about how machine learning can enhance these strategies and have examples ready to share.
✨Understand Low-Latency Systems
Since this role involves designing low-latency infrastructure, brush up on the principles of high-performance computing. Be ready to discuss techniques for optimising code and reducing latency in trading systems.
✨Prepare for Technical Questions
Expect a mix of technical and theoretical questions during the interview. Practice explaining complex concepts clearly and concisely, as communication is key in a collaborative environment like this one.
