At a Glance
- Tasks: Lead research on quantitative finance, from data analysis to performance monitoring.
- Company: Join a top global systematic fund with over $20 billion in assets under management.
- Benefits: Enjoy competitive pay, flexible working options, and a dynamic team environment.
- Why this job: Be part of an innovative team making impactful financial decisions through cutting-edge research.
- Qualifications: MS or PhD in a quantitative field with 3-7 years of relevant experience required.
- Other info: Programming skills in languages like Python or R are essential for success.
The predicted salary is between 48000 - 84000 £ per year.
Quantitative Researcher (Systematic Fund) Quantitative & Systematic Trading Recruiter We are seeking a talented Quantitative Researcher to join a leading global systematic fund ($20Bn+ AUM). Responsibilities: Manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring. Independently conduct 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. #J-18808-Ljbffr
Quantitative Researcher (Systematic Fund) - Paritas Recruitment - Data & Tech employer: Jobs via eFinancialCareers
Contact Detail:
Jobs via eFinancialCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher (Systematic Fund) - Paritas Recruitment - Data & Tech
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative finance and systematic trading. This will not only help you understand the industry better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Brush up on your programming skills, especially in languages like Python or R, as these are commonly used in quantitative research. Consider working on personal projects or contributing to open-source projects to showcase your coding abilities.
✨Tip Number 3
Network with professionals in the field by attending industry conferences or joining relevant online forums. Building connections can provide valuable insights and potentially lead to referrals for job openings.
✨Tip Number 4
Prepare to discuss your previous research experiences in detail. Be ready to explain your methodology, the data sets you worked with, and the outcomes of your projects, as this will demonstrate your hands-on experience and analytical skills.
We think you need these skills to ace Quantitative Researcher (Systematic Fund) - Paritas Recruitment - Data & Tech
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in quantitative research, particularly in alpha-driven strategies. Emphasise your programming skills and any specific projects that demonstrate your ability to handle large data sets.
Craft a Strong Cover Letter: In your cover letter, explain why you are passionate about quantitative research and how your background aligns with the responsibilities of the role. Mention specific methodologies or models you have worked with that relate to the job description.
Showcase Your Research Skills: Include examples of your independent research in your application. Discuss any statistical or predictive models you have developed, and be prepared to explain your methodology and findings during an interview.
Highlight Relevant Experience: If you have experience in equities, futures, fixed income, credit, or FX, make sure to detail this in your application. Use quantifiable achievements to demonstrate your impact in previous roles.
How to prepare for a job interview at Jobs via eFinancialCareers
✨Showcase Your Analytical Skills
Be prepared to discuss your analytical and quantitative skills in detail. Bring examples of past projects where you successfully managed large data sets and conducted independent research, as this will demonstrate your capability to handle the responsibilities of the role.
✨Familiarise Yourself with Relevant Programming Languages
Since programming is a key requirement for this position, ensure you are comfortable discussing your experience with languages like Python, R, or MATLAB. You might be asked to solve a coding problem during the interview, so brush up on your skills beforehand.
✨Understand the Research Process
Make sure you can articulate the entire research process from methodology selection to performance monitoring. Be ready to discuss how you approach each stage and any specific methodologies you prefer, as this will show your depth of knowledge in quantitative research.
✨Prepare Questions About the Fund
Demonstrate your interest in the company by preparing insightful questions about their systematic fund strategies and research focus. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals.