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- Tasks: Support multi-asset strategies and develop actionable analytics using Python.
- Company: Respected investment firm with a focus on innovation.
- Benefits: Highly competitive salary, performance-linked bonus, and comprehensive benefits.
- Why this job: Join a dynamic team and enhance research frameworks in a flexible work environment.
- Qualifications: Strong quantitative research skills and proficiency in Python.
- Other info: Opportunity for growth in a collaborative and supportive atmosphere.
The predicted salary is between 43200 - 72000 £ per year.
A respected investment firm is seeking a Quantitative Researcher to support multi-asset strategies. The role involves partnering with investment professionals to enhance research frameworks and develop actionable analytics.
Candidates should have strong quantitative research skills and proficiency in Python.
This position offers a highly competitive salary along with a performance-linked bonus and comprehensive benefits in a flexible work environment.
Cross-Asset Quant Researcher: Analytics in Python in City of London employer: McGregor Boyall
Contact Detail:
McGregor Boyall Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cross-Asset Quant Researcher: Analytics in Python in City of London
✨Tip Number 1
Network like a pro! Reach out to professionals in the investment and quant research space. Use platforms like LinkedIn to connect with people who work at firms you're interested in, and don't be shy about asking for informational interviews.
✨Tip Number 2
Show off your Python skills! Create a portfolio of projects that demonstrate your quantitative research abilities. Whether it's a data analysis project or a predictive model, having tangible examples can really set you apart during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your quantitative methods and Python coding. Practice common interview questions and problems related to multi-asset strategies, so you can confidently showcase your expertise when it counts.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, applying directly shows your enthusiasm for the position and gives you a better chance of standing out in the hiring process.
We think you need these skills to ace Cross-Asset Quant Researcher: Analytics in Python in City of London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your proficiency in Python throughout your application. We want to see how you've used it in past projects or research, so don’t hold back on the details!
Quantitative Research Experience is Key: When detailing your experience, focus on your quantitative research skills. We’re looking for candidates who can demonstrate their ability to analyse data and develop actionable insights, so share specific examples.
Tailor Your Application: Don’t just send a generic application! We love when candidates take the time to tailor their CV and cover letter to our job description. Show us how your background aligns with the role of a Cross-Asset Quant Researcher.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and helps us get to know you better!
How to prepare for a job interview at McGregor Boyall
✨Know Your Quantitative Stuff
Brush up on your quantitative research skills before the interview. Be ready to discuss your previous projects and how you applied analytical techniques in Python. This will show that you can hit the ground running and contribute to their multi-asset strategies.
✨Showcase Your Python Proficiency
Prepare to demonstrate your Python skills during the interview. You might be asked to solve a problem or explain how you've used Python in your past work. Practising coding challenges or relevant projects can help you feel more confident.
✨Understand Their Investment Strategies
Do some homework on the firm’s investment strategies and how they approach multi-asset research. Being able to discuss their methods and how you can enhance their frameworks will impress the interviewers and show your genuine interest in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tools they use, and how success is measured in this role. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values.
