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- Tasks: Enhance trading strategies using Python and support the quantitative research team.
- Company: Leading financial firm in London with a focus on innovation.
- Benefits: Competitive salary, generous vacation, medical insurance, and free gym membership.
- Other info: Exciting opportunities for career growth in a fast-paced environment.
- Why this job: Join a dynamic team and make an impact in the finance world.
- Qualifications: Bachelor's degree, strong Python skills, and 5 years of relevant experience.
The predicted salary is between 60000 - 80000 £ per year.
Jobs via eFinancialCareers is hiring for a Quant Developer in London to enhance their trading strategies through Python development and close support to the quantitative research team.
This role requires:
- A Bachelor's degree
- A strong background in Python and statistical libraries
- At least 5 years of relevant experience
The company offers competitive salary, generous vacation, and various benefits including medical insurance and free gym membership.
London-based Quant Developer: Python Trading&Backtesting employer: Jobs via eFinancialCareers
Contact Detail:
Jobs via eFinancialCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land London-based Quant Developer: Python Trading&Backtesting
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to trading and backtesting. This will give you an edge over other candidates.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and statistical knowledge. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you a better chance at landing that dream job.
We think you need these skills to ace London-based Quant Developer: Python Trading&Backtesting
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python and any relevant statistical libraries in your application. We want to see how you've used these skills in real-world scenarios, so don't hold back!
Tailor Your CV: Customise your CV to reflect the specific requirements of the Quant Developer role. We love seeing candidates who take the time to align their experiences with what we're looking for, so make it personal!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about trading strategies and how your background makes you a perfect fit for our team. We appreciate a bit of personality, so let us get to know you!
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 don’t miss out on any important updates from us. Plus, it’s super easy!
How to prepare for a job interview at Jobs via eFinancialCareers
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be prepared to discuss your experience with statistical libraries and how you've used them in past projects. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Understand Trading Strategies
Familiarise yourself with various trading strategies and how they can be enhanced through quantitative methods. Being able to discuss specific strategies and how your skills can contribute to improving them will show that you're not just a coder, but someone who understands the financial landscape.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of Python and quantitative analysis. Review common algorithms and statistical concepts that are relevant to trading. Practising mock interviews with a friend or using online platforms can help you feel more confident.
✨Show Enthusiasm for Collaboration
This role involves close support to the quantitative research team, so highlight your teamwork skills. Share examples of how you've successfully collaborated with others in the past, especially in high-pressure environments. This will demonstrate that you're a great fit for their team-oriented culture.