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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
- 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 folks in the industry, especially those already working as Quant Developers. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to trading and backtesting. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and statistical libraries. Practice coding challenges and be ready to discuss your past projects in detail. We want you to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
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 for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
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 different trading strategies and how they work. Being able to discuss these strategies intelligently will show that you’re not just a coder, but someone who understands the financial implications of your work.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of quantitative methods and programming. We recommend reviewing common algorithms and data structures, as well as being ready to explain your thought process when solving problems.
✨Show Your Team Spirit
Since this role involves close support to the quantitative research team, be ready to talk about your teamwork experiences. Highlight instances where you collaborated effectively with others, especially in high-pressure situations, to achieve a common goal.