At a Glance
- Tasks: Lead quant trading strategies and drive innovative research in a dynamic environment.
- Company: Thriving firm in the heart of London with a flexible work culture.
- Benefits: Excellent salary, comprehensive benefits, and adaptable working hours.
- Other info: Ideal for professionals seeking growth and flexibility in their careers.
- Why this job: Join a cutting-edge team and shape the future of quantitative trading.
- Qualifications: Expertise in quantitative research and programming languages like Python and C++.
The predicted salary is between 80000 - 100000 £ per year.
Job Opportunity
If you're looking for a job with excellent salary, benefits package, and flexible working hours, this opportunity is for you. From day one, you can enjoy a range of options to suit your lifestyle.
Company Information
This position is with a client located in the heart of the city. Flexible working conditions make it an ideal choice for many professionals.
Skills Required
- Quantitative Research
- Gauss
- Hull
- Options Theory
- C++
- Erlang
- F#
- Scala
- Haskell
- Django
- Python
- Twisted
- NoSQL
- Data Science
Head of Quant Trading in London - Quant Capital employer: Job Search Place Limited
As a leading firm in the heart of London, we pride ourselves on offering an exceptional work environment that prioritises flexibility and employee well-being. Our competitive salary and comprehensive benefits package, combined with ample opportunities for professional growth and development, make us an attractive employer for those seeking a rewarding career in quantitative trading.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Quant Trading in London - Quant Capital
✨Tip Number 1
Network like a pro! Reach out to professionals in the quant trading space on LinkedIn or at industry events. We can leverage our connections to get insights and maybe even a referral for that Head of Quant Trading role.
✨Tip Number 2
Prepare for those tricky technical interviews! Brush up on your knowledge of options theory and programming languages like C++ and Python. We should practice coding challenges together to boost our confidence.
✨Tip Number 3
Showcase your projects! If you've worked on any quant research or data science projects, make sure to highlight them in your discussions. We can create a portfolio that demonstrates our skills and passion for the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. We can keep track of our applications and follow up to show our enthusiasm for the role.
We think you need these skills to ace Head of Quant Trading in London - Quant Capital
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Head of Quant Trading role. Highlight your experience with quantitative research and the specific programming languages mentioned in the job description. We want to see how your skills align with what they're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this position. Mention your passion for quant trading and how your background in data science can contribute to their team. Let us see your personality!
Showcase Relevant Projects:If you've worked on any projects that involve Gauss, Options Theory, or any of the programming languages listed, make sure to mention them. We love seeing practical examples of your work that demonstrate your expertise and problem-solving skills.
Apply Through Our Website:Don't forget to apply through our website! It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining the team!
How to prepare for a job interview at Job Search Place Limited
✨Know Your Quant Skills
Make sure you brush up on your quantitative research skills and the specific programming languages mentioned in the job description. Be ready to discuss how you've applied Gauss, Hull, and Options Theory in your previous roles, as well as any projects involving C++, Python, or Scala.
✨Showcase Your Flexibility
Since the company values flexible working conditions, be prepared to discuss how you manage your time and adapt to different working environments. Share examples of how you've successfully worked remotely or in a hybrid setup, highlighting your ability to stay productive.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of data science and the specific technologies listed. Practice coding challenges in C++ or Python, and be ready to explain your thought process clearly. This will demonstrate your problem-solving skills and technical expertise.
✨Cultural Fit Matters
Research the company's culture and values. Be ready to discuss how your personal values align with theirs. Showing that you understand their work environment and can fit into their team will give you an edge in the interview.