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For Companies At a Glance
- Tasks: Conduct innovative research on trading strategies and optimise execution methods.
- Company: Join a leading firm in quantitative finance with a global presence.
- Benefits: Enjoy competitive pay, flexible working locations, and access to cutting-edge technology.
- Why this job: Be at the forefront of finance, using machine learning to make impactful decisions.
- Qualifications: 3+ years in quant research with a strong academic background in relevant fields.
- Other info: Opportunities available in London, Paris, Zurich, or Dubai.
The predicted salary is between 43200 - 72000 £ per year.
Key Responsibilities:
- Conduct cutting-edge research on systematic trading strategies.
- Identify new alpha signals across asset classes.
- 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, 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.
Location: London, Paris, Zurich, or Dubai
Contact Detail:
W Executive Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Researcher - W Executive
✨Tip Number 1
Network with professionals in the quantitative finance field. Attend industry conferences, webinars, or local meetups to connect with people who work at hedge funds or investment firms. This can help you gain insights into the role and potentially get a referral.
✨Tip Number 2
Showcase your technical skills by working on personal projects or contributing to open-source initiatives related to machine learning and quantitative research. This not only enhances your portfolio but also demonstrates your passion and expertise in the field.
✨Tip Number 3
Stay updated on the latest trends and advancements in quantitative research and machine learning. Follow relevant blogs, podcasts, and academic journals to ensure you can discuss current topics during interviews.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and quantitative problems. Familiarise yourself with common algorithms and statistical methods that are often discussed in quant researcher interviews.
We think you need these skills to ace Quant Researcher - W Executive
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in quantitative research, especially any work with systematic trading strategies or machine learning. Use specific examples to demonstrate your skills and achievements.
Craft a Strong Cover Letter: Write a cover letter that clearly outlines your passion for quantitative research and your understanding of the role. Mention your academic background and how it aligns with the requirements, particularly your experience with large-scale datasets and execution strategies.
Showcase Technical Skills: In your application, emphasise your proficiency in machine learning and statistical modelling. Include any relevant projects or tools you have used, and be prepared to discuss these in detail during an interview.
Highlight Educational Background: If you have a degree from a top-tier institution, make sure to mention it prominently. Discuss any relevant coursework or research that relates to the job description, particularly in Mathematics, Machine Learning, or Computer Science.
How to prepare for a job interview at W Executive
✨Showcase Your Research Skills
Be prepared to discuss your previous research projects in detail. Highlight any systematic trading strategies you've developed and the methodologies you used, especially if they involved machine learning or statistical modelling.
✨Demonstrate Technical Proficiency
Make sure to brush up on your knowledge of machine learning techniques and quantitative finance. Be ready to answer technical questions or even solve problems on the spot that showcase your ability to work with large datasets.
✨Understand the Company’s Focus
Research the company’s current trading strategies and recent developments in their approach to quant research. This will help you tailor your answers and show that you are genuinely interested in their work.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions where you may need to outline how you would approach developing a new alpha signal or optimising an execution strategy. Think through your thought process and be ready to articulate it clearly.
