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- Tasks: Develop high-performance systems using Python and C++ for quantitative research.
- Company: Top-performing quantitative investment fund in the UK.
- Benefits: Competitive salary with performance-based incentives.
- Why this job: Make a real impact on trading outcomes while collaborating with experts.
- Qualifications: Strong programming skills and relevant degree, preferably in systematic trading.
- Other info: Exciting opportunity for career growth in a dynamic environment.
The predicted salary is between 48000 - 72000 £ per year.
A top-performing quantitative investment fund in the United Kingdom seeks a Quant Developer who will work on high-performance systems integrating quantitative research and data engineering using Python and C++.
This full-time role involves collaborating with quant researchers to develop models, optimize performance, and influence trading outcomes.
Ideal candidates should possess a strong programming background, preferably in a systematic trading environment, and hold a relevant degree.
Competitive compensation package with performance-based incentives is offered.
Quant Developer: Elite Trading Tech (Python/C++) in London employer: Hunter Bond
Contact Detail:
Hunter Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer: Elite Trading Tech (Python/C++) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with quant researchers on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Python and C++ projects. This is a great way to demonstrate your programming prowess and give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. Practice coding challenges on platforms like LeetCode or HackerRank to get comfortable with the types of questions you might face.
✨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 ensure your application gets seen by the right people.
We think you need these skills to ace Quant Developer: Elite Trading Tech (Python/C++) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming prowess in Python and C++. We want to see how your skills can contribute to our high-performance systems, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specifics of the Quant Developer role. Mention any experience you have in systematic trading environments and how it relates to the job.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand.
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 Hunter Bond
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and C++. Brush up on the latest libraries and frameworks that are relevant to quantitative trading. Be ready to discuss your previous projects and how you’ve used these languages to solve complex problems.
✨Understand the Quantitative Landscape
Familiarise yourself with the current trends in quantitative finance and trading strategies. Being able to discuss recent developments or models will show your passion for the field and your ability to contribute to their team.
✨Prepare for Technical Questions
Expect to face technical questions that test your programming skills and problem-solving abilities. Practice coding challenges and be prepared to explain your thought process clearly. This is your chance to showcase your analytical skills!
✨Showcase Collaboration Skills
Since the role involves working closely with quant researchers, highlight any experience you have in collaborative environments. Share examples of how you’ve successfully worked in teams to develop models or optimise systems, as this will demonstrate your fit for the role.
