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- Tasks: Lead the research process from methodology to performance monitoring in quantitative finance.
- Company: Join a dynamic systematic fund focused on innovative financial strategies.
- Benefits: Enjoy competitive compensation and opportunities for professional growth.
- Why this job: Make an impact with your research while working in a collaborative and intellectually stimulating environment.
- Qualifications: Ideal for MS or PhD candidates with 3-7 years in quantitative research and strong programming skills.
- Other info: Work with large data sets and cutting-edge statistical models.
The predicted salary is between 48000 - 84000 £ per year.
Responsibilities: manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring. Indeoendently conducting quantitative finance research with a focus on statistical and predictive models About you: MS or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline 3-7 years of experience in alpha driven quantitative research for equities, futures, fixed income, credit, and/or FX Strong analytical and quantitative skills Demonstrated ability to conduct independent research utilizing large data sets Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl
Quantitative Researcher (Systematic Fund) employer: Paritas Recruitment - Data & Tech
Contact Detail:
Paritas Recruitment - Data & Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher (Systematic Fund)
✨Tip Number 1
Make sure to showcase your experience with large data sets during the interview. Prepare specific examples of how you've utilized these in your previous research projects, as this will demonstrate your ability to handle the responsibilities outlined in the job description.
✨Tip Number 2
Brush up on your programming skills, especially in languages like Python or R, as they are crucial for quantitative research. Consider working on a small project or two that you can discuss during your interview to show your practical knowledge.
✨Tip Number 3
Familiarize yourself with the latest trends and methodologies in quantitative finance. Being able to discuss recent developments or innovations in the field can set you apart from other candidates and show your passion for the industry.
✨Tip Number 4
Network with professionals in the quantitative finance space. Attend relevant conferences or webinars where you can meet people who work in similar roles. This can provide you with valuable insights and potentially lead to referrals for the position.
We think you need these skills to ace Quantitative Researcher (Systematic Fund)
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your 3-7 years of experience in alpha-driven quantitative research. Detail specific projects or roles where you managed the research process, including methodology selection and data analysis.
Showcase Technical Skills: Clearly list your programming skills in languages such as C++, Java, MATLAB, R, Python, or Perl. Provide examples of how you've used these skills in your previous research or projects.
Demonstrate Independent Research: Include examples of independent research you've conducted, especially those involving large data sets. Discuss the methodologies you employed and any significant findings or contributions to the field.
Tailor Your Application: Customize your CV and cover letter to align with the responsibilities outlined in the job description. Use keywords from the job posting to ensure your application stands out to hiring managers.
How to prepare for a job interview at Paritas Recruitment - Data & Tech
✨Showcase Your Research Skills
Be prepared to discuss your previous research projects in detail. Highlight your methodology selection, data collection techniques, and any statistical models you developed. This will demonstrate your ability to manage the entire research process.
✨Demonstrate Programming Proficiency
Since programming is crucial for this role, be ready to talk about your experience with languages like C++, Python, or R. You might even be asked to solve a coding problem during the interview, so brush up on your skills!
✨Prepare for Technical Questions
Expect questions that test your analytical and quantitative skills. Review key concepts in quantitative finance, statistical analysis, and predictive modeling. Being able to explain complex ideas clearly will set you apart.
✨Discuss Your Experience with Large Data Sets
Share examples of how you've worked with large data sets in your past roles. Talk about the tools and techniques you used for data analysis and how you ensured the accuracy and reliability of your findings.
