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- Tasks: Create predictive signals and develop systematic equity strategies.
- Company: Join a dynamic US Hedge Fund focused on systematic equities growth.
- Benefits: Collaborate with top traders and researchers in a supportive environment.
- Why this job: Make a real impact in global markets while honing your quantitative skills.
- Qualifications: Experience in quant research and proficiency in Python required.
- Other info: Ideal for those who thrive in collaborative investment group settings.
The predicted salary is between 48000 - 84000 £ per year.
Company Overview: A US Hedge Fund are looking to build out their equities platform and bring on an individual that will support the growth of their systematic equities programme and make a significant input to the development of systematic equity strategies. Your future role Your core objective is to create high quality /Mid frequency predictive signals and deliver high quality systematic strategies in production. Manage a research process from idea generation, data ingestion, hypothesis testing, backtesting, implementation and production monitoring Share and discuss research results, methodology, data sets and processes with other traders / researchers. Portfolio construction for trading strategies in global markets. Your present skillset Previous experience in a quant research role (equity) Python coding experience Strong communication skills with the motivation to work in a large collaborative investment group structure
Equities Quant Researcher employer: Selby Jennings
Contact Detail:
Selby Jennings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Equities Quant Researcher
✨Tip Number 1
Make sure to brush up on your Python skills, as coding is a crucial part of the role. Consider working on personal projects or contributing to open-source projects that involve quantitative finance to showcase your abilities.
✨Tip Number 2
Familiarize yourself with systematic equity strategies and current trends in the equities market. Being able to discuss recent developments and how they might impact trading strategies will demonstrate your passion and knowledge during discussions.
✨Tip Number 3
Network with professionals in the quant research field. Attend industry conferences or webinars where you can meet traders and researchers, and don’t hesitate to reach out on platforms like LinkedIn to connect with people from the hedge fund industry.
✨Tip Number 4
Prepare to discuss your previous research experiences in detail. Be ready to explain your thought process during idea generation, hypothesis testing, and backtesting, as this will show your analytical skills and ability to contribute to the team.
We think you need these skills to ace Equities Quant Researcher
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly understand the responsibilities of an Equities Quant Researcher. Familiarize yourself with systematic equity strategies and the importance of predictive signals in trading.
Highlight Relevant Experience: In your CV and cover letter, emphasize your previous experience in quant research, particularly in equities. Detail your Python coding skills and any specific projects that demonstrate your ability to create predictive signals.
Showcase Communication Skills: Since strong communication skills are essential for this role, provide examples in your application where you successfully collaborated with others or shared complex research findings in an understandable way.
Tailor Your Application: Customize your application materials to reflect the specific requirements mentioned in the job description. Use relevant terminology and demonstrate your understanding of the hedge fund environment and systematic trading.
How to prepare for a job interview at Selby Jennings
✨Showcase Your Quantitative Skills
Be prepared to discuss your previous experience in quantitative research, especially in equities. Highlight specific projects where you developed predictive signals or systematic strategies, and be ready to explain your thought process and methodologies.
✨Demonstrate Python Proficiency
Since Python coding experience is crucial for this role, make sure to discuss your familiarity with relevant libraries and frameworks. You might even want to prepare for a coding challenge or technical questions that assess your programming skills.
✨Communicate Effectively
Strong communication skills are essential in a collaborative environment. Practice explaining complex concepts in simple terms, as you will need to share your research results and methodologies with other traders and researchers.
✨Prepare for Portfolio Construction Discussions
Understand the principles of portfolio construction for trading strategies in global markets. Be ready to discuss how you would approach building a portfolio and the factors you would consider in your decision-making process.
