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- Tasks: Develop systematic equity investment strategies through quantitative analysis and backtesting.
- Company: Global financial services company based in Greater London.
- Benefits: Competitive salary, professional development, and engaging client interactions.
- Why this job: Join a dynamic team and shape the future of equity investments.
- Qualifications: 3-5 years in financial derivatives, proficient in Python and Excel.
- Other info: Full-time role with opportunities for growth and skill enhancement.
The predicted salary is between 36000 - 60000 £ per year.
A global financial services company in Greater London is seeking a talented professional to develop systematic equity investment strategies. Responsibilities include quantitative analysis, backtesting, and client engagement.
The ideal candidate has 3-5 years' experience in financial derivatives, is proficient in Python and Excel, and possesses a strong quantitative background. This full-time position requires excellent communication skills and attention to detail.
Quantitative Equity Strategist | Python & Backtesting employer: BBVA
Contact Detail:
BBVA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Equity Strategist | Python & Backtesting
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance sector on LinkedIn or at industry events. We can’t stress enough how personal connections can lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative analysis and backtesting projects. This is your chance to demonstrate your Python prowess and attention to detail, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex concepts in simple terms, as client engagement is key in this role. We want you to be confident and articulate!
✨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 take the initiative to engage directly with us.
We think you need these skills to ace Quantitative Equity Strategist | Python & Backtesting
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative analysis and backtesting. We want to see how your skills in Python and Excel can shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Quantitative Equity Strategist role. Share specific examples of your past work and how it relates to developing systematic equity investment strategies.
Show Off Your Communication Skills: Since client engagement is key, let your written communication skills come through in your application. We appreciate clarity and professionalism, so make sure your application is well-structured and easy to read.
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 the role. Plus, it’s super easy to do!
How to prepare for a job interview at BBVA
✨Know Your Numbers
Brush up on your quantitative analysis skills before the interview. Be prepared to discuss specific metrics and methodologies you've used in past projects, especially those related to financial derivatives. This will show that you have the technical chops for the role.
✨Python Proficiency is Key
Since Python is a crucial part of the job, make sure you can talk about your experience with it confidently. Bring examples of scripts or backtesting frameworks you've developed. If possible, be ready to solve a coding challenge during the interview to demonstrate your skills.
✨Engage with Real-World Scenarios
Prepare to discuss how you would approach developing systematic equity investment strategies. Think about recent market trends and be ready to share your insights. This shows that you’re not just theoretically sound but also practically aware of the industry.
✨Communicate Clearly
Excellent communication skills are a must for this role. Practice explaining complex quantitative concepts in simple terms. This will help you connect with interviewers who may not have a deep technical background, showcasing your ability to engage clients effectively.
