Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead research projects, analyse data, and develop trading strategies.
- Company: Join a cutting-edge firm focused on innovative trading solutions.
- Benefits: Enjoy flexible working options and access to advanced tools.
- Why this job: Make an impact in finance with your analytical skills and creativity.
- Qualifications: Master's or PhD in a quantitative field; strong Python programming required.
- Other info: Ideal for self-motivated individuals who thrive in collaborative environments.
The predicted salary is between 43200 - 72000 £ per year.
Key Responsibilities:
- Lead and manage the full research lifecycle, including methodology design, data acquisition and analysis, prototyping, backtesting, and performance evaluation.
- Enhance and refine existing trading strategies to improve performance and robustness.
- Independently develop and test proprietary trading signals and strategies suitable for deployment.
- Conduct portfolio optimization and risk management analysis.
- Apply advanced time series modeling, simulation techniques, and quantitative research methods.
- Work with large, complex datasets to extract actionable insights.
- Evaluate new and alternative datasets for their alpha-generating potential.
- Contribute to the ongoing enhancement of the research process, trading infrastructure, and overall investment framework.
- Generate novel alpha signals with a proven track record of success.
Qualifications:
- Master's or PhD in a quantitative discipline such as Finance, Computer Science, Mathematics, Physics, or Engineering.
- Demonstrated experience researching index strategies.
- Strong programming skills, particularly in Python; familiarity with data science and machine learning libraries is a plus.
- Proven ability to formulate and test trading hypotheses, particularly in equities and intraday markets.
- Experience researching and developing intraday futures trading strategies.
- Excellent analytical and quantitative problem-solving skills.
- Self-motivated and accountable, with the ability to work independently as well as collaboratively within a small, focused team.
Index - Quant Researcher employer: Job Traffic
Contact Detail:
Job Traffic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Index - Quant Researcher
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative research and index strategies. This will not only help you understand the current landscape but also allow you to engage in informed discussions during interviews.
✨Tip Number 2
Showcase your programming skills, especially in Python, by working on personal projects or contributing to open-source initiatives. This practical experience can set you apart and demonstrate your ability to apply theoretical knowledge.
✨Tip Number 3
Network with professionals in the finance and quantitative research fields. Attend relevant conferences, webinars, or meetups to build connections that could lead to job opportunities at StudySmarter or elsewhere.
✨Tip Number 4
Prepare to discuss your past research experiences and how they relate to the responsibilities of the role. Be ready to explain your thought process in developing trading strategies and how you've tackled challenges in your previous work.
We think you need these skills to ace Index - Quant Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in quantitative research, particularly in index strategies. Emphasise your programming skills in Python and any experience with data science or machine learning libraries.
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 projects or experiences that demonstrate your ability to develop and test trading strategies.
Showcase Your Analytical Skills: Provide examples of how you've used analytical and quantitative problem-solving skills in past roles. Discuss any experience you have with portfolio optimisation, risk management analysis, or working with large datasets.
Highlight Independent Projects: If you've worked on independent projects related to trading signals or strategies, be sure to include these in your application. Detail the methodologies you used and the outcomes achieved to showcase your initiative and expertise.
How to prepare for a job interview at Job Traffic
✨Showcase Your Research Skills
Be prepared to discuss your previous research projects in detail. Highlight your methodology, the data you used, and the outcomes. This will demonstrate your ability to manage the full research lifecycle effectively.
✨Demonstrate Programming Proficiency
Since strong programming skills in Python are crucial for this role, be ready to discuss specific libraries you've used, such as Pandas or NumPy. You might even want to prepare a small coding challenge to showcase your skills during the interview.
✨Discuss Trading Hypotheses
Prepare examples of trading hypotheses you've formulated and tested in the past. Be specific about the strategies you developed and the results you achieved, especially in equities and intraday markets.
✨Emphasise Team Collaboration
While independence is important, this role also requires collaboration within a small team. Share experiences where you successfully worked with others to enhance trading strategies or improve research processes.
