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- Tasks: Conduct cutting-edge research to develop investment signals and strategies using AI and data analysis.
- Company: Join a dynamic investment team focused on systematic equities and innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact in public markets while working with advanced technologies.
- Qualifications: Strong grasp of equity markets, research skills, and proficiency in Python.
- Other info: Collaborative environment with a focus on continuous learning and development.
The predicted salary is between 54000 - 84000 £ per year.
We are seeking a researcher to join a systematic equities investment team focused on generating alpha in public markets. The role combines investment thinking with quantitative and data-driven research. The successful candidate will help design, test, and implement investment signals using a wide range of structured and unstructured datasets, including AI-enabled research tools.
Responsibilities
- Conduct original research to develop systematic equity investment signals
- Translate economic and fundamental insights into quantitative frameworks
- Work with alternative data and AI-driven datasets to identify new alpha sources
- Design, backtest, and evaluate investment strategies with rigorous statistical discipline
- Collaborate with portfolio managers to integrate signals into live portfolios
- Monitor signal performance and adapt models to changing market regimes
- Improve research infrastructure and data pipelines
- Communicate research findings clearly to investment stakeholders
Qualifications
- Strong understanding of public equity markets and investment fundamentals
- Demonstrated ability to conduct independent research
- Experience with quantitative or systematic investing
- Proficiency in Python and data analysis tools
- Familiarity with machine learning or AI as applied to financial research
- Strong statistical intuition and experimental design skills
- Ability to connect data signals to economic rationale
Senior Equity Research Analyst employer: Cooper Fitch
Contact Detail:
Cooper Fitch Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Equity Research Analyst
✨Tip Number 1
Network like a pro! Reach out to professionals in the equity research field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research projects, especially those involving Python and data analysis. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your quantitative skills and understanding of market trends. We recommend practising common interview questions related to systematic investing and AI applications in finance.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Equity Research Analyst
Some tips for your application 🫡
Show Your Research Skills: Make sure to highlight your ability to conduct original research. We want to see how you can develop systematic equity investment signals, so share examples of your past work that demonstrate this skill.
Quantitative Focus is Key: Since the role involves a lot of quantitative and data-driven research, don’t forget to showcase your experience with Python and data analysis tools. We love seeing candidates who can translate economic insights into quantitative frameworks!
Communicate Clearly: When writing your application, keep in mind that clear communication is crucial. We need to know how you can convey complex research findings to investment stakeholders, so make your points concise and impactful.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Cooper Fitch
✨Know Your Numbers
Make sure you brush up on your understanding of public equity markets and investment fundamentals. Be ready to discuss specific examples of how you've used quantitative frameworks in your previous roles. This will show that you can translate economic insights into actionable investment strategies.
✨Showcase Your Research Skills
Prepare to discuss your experience with conducting independent research. Bring examples of past projects where you designed, backtested, or evaluated investment strategies. Highlight any use of alternative data or AI-driven datasets, as this is crucial for the role.
✨Demonstrate Technical Proficiency
Since proficiency in Python and data analysis tools is key, be ready to talk about your technical skills. You might even want to prepare a small coding example or a case study that showcases your ability to work with data and machine learning in financial contexts.
✨Communicate Clearly
Effective communication is vital, especially when conveying complex research findings to stakeholders. Practice summarising your research in simple terms and think about how you would explain your investment signals to someone without a technical background. This will demonstrate your ability to collaborate with portfolio managers.
