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- Tasks: Join a dynamic hedge fund as a Quant Researcher focusing on machine learning and equity strategies.
- Company: Exciting new hedge fund with significant assets under management in London.
- Benefits: Competitive salary, full-time position, and opportunities for professional growth.
- Why this job: Make an impact in finance by solving complex investment problems with cutting-edge technology.
- Qualifications: Masters or Ph.D. in relevant fields and 2-10 years of quantitative research experience.
- Other info: Collaborative environment with a focus on innovation and intellectual curiosity.
The predicted salary is between 48000 - 72000 £ per year.
I am working with a new hedge fund who have just raised a significant and respectable AUM. They are proactively looking for Low to Mid Frequency Systematic Equity Quant Researchers and Traders with a focus on ML in London to join two separate pods within PM's we recently placed.
Requirements
- Masters, or Ph.D. in Statistics, Mathematics, Operations Research, Economics or a related field
- Strong focus on ML
- 2-10 years experience as a QR or QT
- Strong mathematical and/or statistical modeling background
- Demonstrated empirical skill; comfortable with analysis of large datasets
- Intellectual curiosity and passion for solving investment problems through the use of technology and fundamentals
- Demonstrated interest in or knowledge of investments, including asset pricing, empirical anomalies and market microstructure
- Previous exposure to a quantitative research role with exposure to equity factor models preferred
- Experience using statistical packages (e.g. Matlab, R) and experience with programming & scripting languages (e.g. Python, C/C++)
Seniority Level: Associate
Employment Type: Full-time
Job Function: Finance
Industries: Investment Management, Investment Banking, and Capital Markets
Quant Researcher Machine learning in London employer: HWTS Global
Contact Detail:
HWTS Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Researcher Machine learning in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and quant world. Attend industry events, webinars, or even local meetups. The more people you know, the better your chances of landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and statistical modelling. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common quant interview questions and be ready to discuss your past experiences with large datasets and programming languages.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates. Let’s get you that job!
We think you need these skills to ace Quant Researcher Machine learning in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in quantitative research and machine learning. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects or roles you've had.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for quantitative finance and how your background makes you a perfect fit for the role. We love seeing candidates who can connect their experiences to our needs.
Showcase Your Technical Skills: Since this role requires strong programming and statistical skills, make sure to mention your proficiency in languages like Python or R. We’re keen on seeing any projects or analyses you've done that demonstrate your technical prowess.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re proactive and eager to join our team!
How to prepare for a job interview at HWTS Global
✨Know Your Numbers
Make sure you brush up on your statistical and mathematical concepts. Be prepared to discuss your experience with large datasets and how you've applied ML techniques in your previous roles. This is your chance to showcase your analytical skills!
✨Show Your Passion for Investment
Demonstrate your intellectual curiosity about the investment world. Be ready to talk about recent market trends, empirical anomalies, or any interesting investment problems you've tackled. This will show that you're not just a numbers person but also someone who understands the bigger picture.
✨Familiarise Yourself with Tools
Since the role requires experience with statistical packages like Matlab or R, and programming languages like Python or C/C++, make sure you can discuss your proficiency with these tools. Maybe even prepare a small project or example where you used them effectively.
✨Prepare for Technical Questions
Expect some technical questions related to quantitative research and machine learning. Practice explaining complex concepts in simple terms, as this will demonstrate your understanding and ability to communicate effectively with non-technical stakeholders.
