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For Companies At a Glance
- Tasks: Lead data analysis and deliver insights for investment processes using statistical methods.
- Company: Join a top European fund management firm known for its innovative approach.
- Benefits: Enjoy flexible working options and a collaborative team environment.
- Why this job: Be at the forefront of data analytics in finance, impacting investment strategies.
- Qualifications: Degree in a quantitative field and experience with data analysis tools required.
- Other info: Mason Blake promotes diversity and welcomes applicants from all backgrounds.
The predicted salary is between 28800 - 48000 £ per year.
A highly regarded European fund management firm is looking to hire a Quantitative Analyst in their data analytics team. Reporting to the Head of Equity Research, the successful candidate will lead the data analytics function working closely alongside Portfolio Managers and Equity Analysts.
Key responsibilities:
- Perform detailed data analysis using statistical methods and programming languages to interpret the results.
- Help develop the requirements of the data analytics function, and play an active role in the strategic development of the data analytics driven products.
- Responsible for the delivery of data-driven insights of the investment processes.
- Explore the use of ESG data generated with AI powered solutions.
Ideal Candidate:
- Relevant work experience extracting, structuring and analysing data to deliver data-driven insights.
- Working knowledge of VBA, SQL, Python, R and/or Matlab.
- Strong academic background with a degree in Physics, Computer Science, Engineering, Mathematics, Statistics or related discipline.
- Strong quantitative and problem solving skills.
- Good communication skills, ability to deliver complex problems in a simplified way.
Quantitative Data Analyst employer: Mason Blake
Contact Detail:
Mason Blake Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Data Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative analysis and data analytics. Being able to discuss recent developments or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the finance and data analytics sectors. Attend industry events, webinars, or meetups to connect with potential colleagues or mentors who can provide insights into the role and company culture.
✨Tip Number 3
Brush up on your programming skills, especially in Python, R, and SQL. Consider working on personal projects or contributing to open-source projects that showcase your ability to analyse data and derive insights.
✨Tip Number 4
Prepare to discuss how you would approach ESG data analysis using AI solutions. Having a clear strategy or examples of how you've tackled similar challenges can set you apart from other candidates.
We think you need these skills to ace Quantitative Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis and programming languages like VBA, SQL, Python, R, or Matlab. Emphasise any projects or roles where you extracted and structured data to deliver insights.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the Quantitative Data Analyst position and how your background aligns with the responsibilities outlined in the job description. Mention your strong academic background and problem-solving skills.
Showcase Your Technical Skills: Include specific examples of how you've used statistical methods and programming languages in previous roles. This could be through projects, internships, or coursework that demonstrate your ability to analyse data effectively.
Prepare for Potential Interviews: Think about how you would explain complex data-driven insights in a simplified manner. Be ready to discuss your experience with ESG data and AI-powered solutions, as these are key aspects of the role.
How to prepare for a job interview at Mason Blake
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in programming languages like Python, R, SQL, and VBA during the interview. Be prepared to discuss specific projects where you've used these skills to analyse data and derive insights.
✨Demonstrate Problem-Solving Abilities
Prepare examples of complex problems you've solved using quantitative methods. This could involve discussing your approach to data analysis and how you arrived at your conclusions, showcasing your analytical thinking.
✨Communicate Clearly
Since good communication skills are essential for this role, practice explaining complex data concepts in a simplified manner. You might be asked to present your findings, so clarity is key.
✨Understand ESG Data Applications
Familiarise yourself with how ESG data can be integrated into investment processes, especially with AI solutions. Being able to discuss current trends and your thoughts on ESG will show your engagement with the industry.
