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- Tasks: Develop and implement quantitative trading strategies in global equities and futures.
- Company: Join a leading firm in London focused on systematic trading and quantitative research.
- Benefits: Enjoy competitive pay, collaborative culture, and opportunities for professional growth.
- Why this job: Be part of a dynamic team driving innovation in financial markets with real impact.
- Qualifications: Advanced degree in a quantitative field and experience in systematic or algorithmic trading required.
- Other info: Candidates with strong track records will manage their own risk allocation.
The predicted salary is between 48000 - 84000 £ per year.
The firm are seeking an experienced Quantitative Researcher to join their team in London. As a key member of the research team, you will play a crucial role in developing and implementing quantitative trading strategies across global equities and futures. The ideal candidate will have a proven track record in systematic trading, with a deep understanding of financial markets and quantitative analysis techniques.
Responsibilities:
- Conduct research to develop and enhance systematic trading strategies across equities and futures products.
- Utilize quantitative techniques and statistical analysis to identify alpha signals and optimize trading models.
- Collaborate closely with the senior quants to implement strategies and manage risk effectively.
- Analyze market data, identify trends, and generate actionable insights to drive decision-making.
- Experienced candidates with a strong track record will be given an allocation of risk to manage.
Requirements:
- Advanced degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Financial Engineering.
- Prior experience in systematic trading, algorithmic trading, or quantitative research within a hedge fund or proprietary trading firm.
- Strong programming skills in languages such as Python, R, or C++ for data analysis and model development.
- Deep understanding of financial markets, trading dynamics, and risk management principles.
- Excellent quantitative and analytical skills, with the ability to work with large datasets and complex models.
- Effective communication skills and ability to collaborate in a fast-paced team environment.
Systematic Quantitative Researcher employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Systematic Quantitative Researcher
✨Tip Number 1
Network with professionals in the quantitative finance field. Attend industry conferences, webinars, or local meetups to connect with others who work in systematic trading. Building relationships can lead to valuable insights and potential job referrals.
✨Tip Number 2
Stay updated on the latest trends and developments in quantitative research and trading strategies. Follow relevant blogs, podcasts, and publications to enhance your knowledge and demonstrate your passion for the field during interviews.
✨Tip Number 3
Prepare to discuss your previous projects and experiences in detail. Be ready to explain the quantitative techniques you used, the challenges you faced, and how you overcame them. This will showcase your expertise and problem-solving skills.
✨Tip Number 4
Practice coding challenges and algorithmic problems in Python, R, or C++. Many firms assess technical skills through coding tests, so being well-prepared can give you an edge over other candidates.
We think you need these skills to ace Systematic Quantitative Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in systematic trading and quantitative research. Emphasise your advanced degree and any relevant programming skills, particularly in Python, R, or C++. Use specific examples to demonstrate your achievements in developing trading strategies.
Craft a Strong Cover Letter: In your cover letter, explain why you are interested in the role and how your background aligns with the firm's needs. Discuss your understanding of financial markets and your experience with quantitative analysis techniques. Be sure to mention any successful projects or strategies you've implemented.
Showcase Your Technical Skills: Include a section in your application that showcases your programming skills and any relevant projects. If you have experience with data analysis or model development, provide examples of how you've used these skills to generate actionable insights in previous roles.
Prepare for Interviews: If selected for an interview, be ready to discuss your quantitative research methods and your approach to risk management. Prepare to answer technical questions related to financial markets and trading dynamics, as well as to demonstrate your problem-solving abilities through case studies or practical examples.
How to prepare for a job interview at Anson McCade
✨Showcase Your Quantitative Skills
Be prepared to discuss your experience with quantitative analysis techniques. Highlight specific projects where you've successfully developed trading strategies or models, and be ready to explain the methodologies you used.
✨Demonstrate Programming Proficiency
Since strong programming skills are essential for this role, ensure you can talk about your experience with languages like Python, R, or C++. Consider bringing examples of code or projects that showcase your ability to analyse data and develop models.
✨Understand Financial Markets
Brush up on your knowledge of financial markets and trading dynamics. Be ready to discuss recent market trends and how they might impact trading strategies. This will show your potential employer that you are engaged and knowledgeable about the industry.
✨Prepare for Technical Questions
Expect technical questions related to systematic trading and risk management principles. Practice explaining complex concepts in a clear and concise manner, as effective communication is key in a collaborative team environment.
