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- Tasks: Design and maintain trading systems while collaborating on predictive models.
- Company: Leading financial services firm with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Why this job: Make a real-world impact in finance while working with top-tier professionals.
- Qualifications: Strong programming skills in Python and/or C++, plus exceptional academic credentials.
- Other info: Join a collaborative team in a fast-paced, high-performance setting.
The predicted salary is between 43200 - 72000 £ per year.
A leading financial services firm is seeking a Quantitative Developer as part of their London build-out. This role involves designing and maintaining core trading system components and collaborating closely with researchers to develop predictive models.
Ideal candidates will possess proven experience and strong programming skills in Python and/or C++. Exceptional academic credentials from a top-tier university are essential, making this an excellent opportunity to make a real-world impact in a collaborative environment.
Quantitative Developer: High-Performance Trading & Research in London employer: Jobs via eFinancialCareers
Contact Detail:
Jobs via eFinancialCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer: High-Performance Trading & Research in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and tech sectors on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python or C++. This can be a game-changer when you’re chatting with potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. Practise coding challenges on platforms like LeetCode or HackerRank to sharpen your skills.
✨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, so keep an eye out and get your application in.
We think you need these skills to ace Quantitative Developer: High-Performance Trading & Research in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and/or C++. We want to see how your experience aligns with the role, so don’t hold back on showcasing your projects or any relevant work you've done!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. We love seeing candidates who understand what we do and can connect their background to our needs in high-performance trading and research.
Academic Credentials Matter: Since exceptional academic credentials are essential, make sure to mention your top-tier university background prominently. We’re looking for candidates who have a solid foundation in quantitative methods and theory.
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 in our London team!
How to prepare for a job interview at Jobs via eFinancialCareers
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills in Python and C++. Be ready to discuss specific projects where you've used these languages, and don't shy away from coding challenges during the interview. Practising algorithms and data structures can really help you shine.
✨Understand the Trading Landscape
Familiarise yourself with high-performance trading systems and the financial markets. Being able to discuss current trends or recent developments in trading technology will show your passion for the field and your readiness to contribute to the team.
✨Collaborate Like a Pro
Since this role involves working closely with researchers, be prepared to talk about your experience in collaborative environments. Share examples of how you've successfully worked in teams, especially when developing predictive models or solving complex problems together.
✨Show Off Your Academic Achievements
With exceptional academic credentials being a key requirement, don’t hesitate to highlight your educational background. Discuss relevant coursework or projects that relate to quantitative development, and how they’ve prepared you for this role.
