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For Companies At a Glance
- Tasks: Lead quantitative trading strategies and optimise performance using advanced machine learning techniques.
- Company: Join a forward-thinking firm in the heart of London, dedicated to innovation and excellence.
- Benefits: Enjoy a competitive salary, flexible working hours, and a comprehensive benefits package from day one.
- Why this job: Be part of a dynamic culture that values creativity and impact in the finance sector.
- Qualifications: Strong programming skills in Python, C++, and experience in quantitative research and trading strategies.
- Other info: Ideal for tech-savvy individuals passionate about finance and data science.
The predicted salary is between 54000 - 84000 £ per year.
Job Requirements:
- Machine learning
- Signal research
- Back testing & performance optimization
- Quantitative modeling
- Development and implementation of trading strategies
- Programming skills in Python, C++, Java, and experience with complex event processing
Company Details:
You will be joining a progressive and exciting company committed to excellence. They offer an excellent salary and benefits package with flexible working options from day 1. My client is based in the City with flexible working hours.
Skills Needed:
- Quantitative research
- Gauss
- Hull
- Options Theory
- C++
- Erlang
- F#
- Scala
- Haskell
- Django
- Python
- Twisted
- NoSQL
- Data Science
- And related skills
Head of Quant Trading in London - Quant Capital employer: WorksHub
Contact Detail:
WorksHub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Quant Trading in London - Quant Capital
✨Tip Number 1
Network with professionals in the quantitative trading field. Attend industry conferences, webinars, or local meetups to connect with people who work in similar roles. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Stay updated on the latest trends in machine learning and quantitative finance. Follow relevant blogs, podcasts, and research papers to ensure you’re knowledgeable about current methodologies and technologies that are being used in the industry.
✨Tip Number 3
Showcase your programming skills by contributing to open-source projects or creating your own projects related to quantitative trading. This not only demonstrates your technical abilities but also your passion for the field.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and algorithm questions, especially in Python and C++. Familiarise yourself with common quantitative problems and be ready to discuss your thought process during interviews.
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 highlights your experience in quantitative research, machine learning, and programming languages like Python and C++. Emphasise any relevant projects or roles that demonstrate your skills in trading strategy development.
Craft a Compelling Cover Letter: In your cover letter, express your passion for quantitative trading and how your background aligns with the company's goals. Mention specific experiences that showcase your expertise in signal research and performance optimisation.
Showcase Technical Skills: Clearly outline your programming skills and familiarity with tools like Gauss, Hull, and various data science methodologies. Providing examples of past work or projects can help illustrate your capabilities.
Highlight Flexibility and Adaptability: Since the company offers flexible working options, mention your ability to adapt to different working environments and your commitment to achieving results, regardless of where you are based.
How to prepare for a job interview at WorksHub
✨Showcase Your Technical Skills
Make sure to highlight your programming skills in Python, C++, and Java during the interview. Be prepared to discuss specific projects where you've applied these languages, especially in relation to quantitative modelling and trading strategies.
✨Demonstrate Your Quantitative Knowledge
Familiarise yourself with key concepts such as options theory and signal research. Be ready to explain how you have used these concepts in past roles, particularly in back testing and performance optimisation.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving questions that assess your analytical thinking. Practice coding challenges or case studies related to quantitative trading to demonstrate your ability to think on your feet.
✨Research the Company Culture
Understand the company's commitment to excellence and flexible working options. Be prepared to discuss how your values align with theirs and how you can contribute to their progressive environment.
