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- Tasks: Join our team to conduct innovative research on systematic trading strategies and optimize execution.
- Company: Be part of a leading firm specializing in quantitative research and trading.
- Benefits: Enjoy competitive compensation, opportunities for growth, and a collaborative work environment.
- Why this job: This role offers the chance to work with cutting-edge technology and make a real impact in finance.
- Qualifications: 3+ years in quant research with a strong academic background in relevant fields required.
- Other info: Ideal candidates are from top-tier institutions and have experience in machine learning and statistical modeling.
The predicted salary is between 48000 - 72000 £ per year.
We are expanding our client’s quantitative research teams and seeking top-tier Quant Researchers with experience in systematic equities, statistical arbitrage, CTA, global macro, Futures, and Forex. The ideal candidates should have a strong background in alpha generation and a proven ability to develop and deploy trading strategies.
Key Responsibilities:
- Conduct cutting-edge research on systematic trading strategies.
- Work with large-scale datasets and apply machine learning techniques where relevant.
- Develop and optimize execution strategies.
Requirements:
- 3+ years of experience in quant research (hedge fund, investment firm, or sell-side trading).
- Strong academic background (Mathematics, Machine Learning, Computer Science, or a related field).
- Proficiency in machine learning (MVA, X – Polytechnique), statistical modeling, and quantitative finance.
- Ability to build end-to-end strategies and deploy them in a production environment.
- Preference for candidates from top-tier institutions (X, LSE, EPFL, EPFZ, PhDs in Machine Learning, MVA, etc.).
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Quantitative Researcher employer: W Executive
Contact Detail:
W Executive Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher
✨Tip Number 1
Make sure to showcase your experience with systematic trading strategies in your conversations. Highlight specific projects where you've successfully developed and deployed these strategies, as this will resonate well with the hiring team.
✨Tip Number 2
Familiarize yourself with the latest trends in quantitative finance and machine learning. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 3
Network with professionals in the quantitative research space. Attend industry conferences or webinars where you can meet potential colleagues and learn more about what they value in a candidate.
✨Tip Number 4
Prepare to discuss your experience with large-scale datasets and machine learning techniques. Be ready to provide examples of how you've applied these skills in real-world scenarios, as this is crucial for the role.
We think you need these skills to ace Quantitative Researcher
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your 3+ years of experience in quantitative research, particularly in areas like systematic equities, statistical arbitrage, and global macro. Use specific examples to demonstrate your expertise.
Showcase Your Academic Background: Clearly outline your academic qualifications, especially if you have a degree in Mathematics, Machine Learning, or Computer Science. Mention any relevant coursework or projects that relate to quantitative finance.
Detail Your Technical Skills: List your proficiency in machine learning techniques and statistical modeling. Be specific about the tools and programming languages you are familiar with, as well as any large-scale datasets you have worked with.
Demonstrate Strategy Development: Provide examples of trading strategies you have developed and deployed. Discuss the outcomes and how you optimized execution strategies, showcasing your ability to build end-to-end solutions.
How to prepare for a job interview at W Executive
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning techniques and statistical modeling. Highlight specific projects where you've successfully applied these skills, especially in the context of developing trading strategies.
✨Demonstrate Your Research Process
Explain your approach to conducting quantitative research. Discuss how you identify alpha generation opportunities and the methodologies you use to validate your findings. This will show your depth of knowledge and analytical thinking.
✨Prepare for Technical Questions
Expect questions that test your understanding of quantitative finance concepts and your ability to work with large datasets. Brush up on relevant theories and be ready to solve problems on the spot, as this is crucial for the role.
✨Highlight Your Academic Background
If you have a degree from a top-tier institution, make sure to mention it. Discuss any relevant coursework or research that aligns with the job requirements, particularly in Mathematics, Machine Learning, or Computer Science.
