At a Glance
- Tasks: Lead the development of innovative options trading strategies using quantitative research.
- Company: Dynamic financial trading firm based in London with a focus on collaboration.
- Benefits: Hybrid work model, competitive salary, and opportunities for career advancement.
- Why this job: Join a team of experts and take your trading skills to the next level.
- Qualifications: 4+ years in quantitative research, strong Python skills, and options trading expertise.
- Other info: Exciting environment with potential to manage your own trading desk.
The predicted salary is between 43200 - 72000 £ per year.
A financial trading firm in London seeks a skilled trader to lead the development of systematic options trading strategies. The ideal candidate has over 4 years of experience in quantitative research, strong programming skills in Python, and deep expertise in options trading. This hybrid role allows collaboration with experienced professionals and offers opportunities for advancement toward managing your own desk.
Lead Quant - Options Trading Research (Hybrid London) employer: Grupo Galvão
Contact Detail:
Grupo Galvão Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Quant - Options Trading Research (Hybrid London)
✨Tip Number 1
Network like a pro! Reach out to professionals in the options trading space on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your quantitative research projects and any systematic trading strategies you've developed. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Practice makes perfect! Brush up on your Python programming skills and be ready to demonstrate your coding abilities during interviews. We recommend working on some real-world problems to showcase your expertise.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications this way!
We think you need these skills to ace Lead Quant - Options Trading Research (Hybrid London)
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 4+ years of experience in quantitative research. We want to see how your background aligns with the role, so don’t hold back on sharing specific projects or achievements that showcase your skills.
Demonstrate Your Programming Skills: Since strong programming skills in Python are a must, include examples of your coding work. Whether it’s a project you’ve completed or a problem you’ve solved, let us know how you’ve used Python in your trading strategies.
Tailor Your Application: Take a moment to customise your application for this role. We’re looking for someone who understands options trading deeply, so make sure to reflect that knowledge in your written application. It’ll help us see why you’re the perfect fit!
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 our team. Plus, we love seeing applications come through our platform!
How to prepare for a job interview at Grupo Galvão
✨Know Your Options
Make sure you brush up on your options trading knowledge. Be prepared to discuss various strategies and their applications. Familiarise yourself with recent market trends and how they might impact your strategies.
✨Show Off Your Coding Skills
Since strong programming skills in Python are a must, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges related to quantitative research beforehand.
✨Quantitative Research is Key
Highlight your experience in quantitative research. Prepare examples of past projects where you've developed systematic trading strategies. Be specific about your methodologies and the outcomes of your research.
✨Collaboration is Crucial
This role involves working closely with other professionals, so be ready to discuss your teamwork experiences. Share examples of how you've collaborated on projects and how you handle differing opinions in a team setting.