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- Tasks: Drive alpha research and develop predictive models for equity strategies.
- Company: Leading global investment firm known for innovative equity research.
- Benefits: Competitive salary, dynamic team environment, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make an impact in systematic equity strategies.
- Qualifications: Masters or PhD in a quantitative field and proficiency in Python.
- Other info: Collaborative culture with a focus on transparency and alignment.
The predicted salary is between 43200 - 72000 £ per year.
Exciting Opportunity: Quantitative Researcher – Equity
Location: London
Industry: Systematic Equity Strategies
Job Type: Full-Time, Permanent
Our Client: We are partnering with a leading global investment firm based in London, renowned for its data-driven, innovative approach to equity research. They are seeking an experienced Quantitative Researcher to join their dynamic team, focusing on systematic equity strategies. This is a fantastic opportunity for a talented individual to contribute to cutting-edge alpha research and work with a team of like-minded experts in the field.
Key Responsibilities:
- Alpha Research: Collaborating closely with the Senior Portfolio Manager (SPM) to drive the research agenda, with a primary focus on idea generation, data gathering, research/analysis, model implementation, and backtesting of systematic equity strategies.
- Model Development: Combining financial insights with advanced statistical learning techniques to analyze diverse datasets, build predictive models, and apply them to the investment process.
- Collaboration: Working alongside the SPM and investment team in a highly transparent environment, ensuring alignment throughout the investment lifecycle.
Required Technical Skills:
- Programming: Proficiency in Python for quantitative research, model building, and analysis.
- Academic Background: A Masters or PhD in a quantitative discipline such as Computer Science, Applied Mathematics, Statistics, or a related field from a top-ranked university.
- Research Experience: Solid background in alpha research and systematic strategy development.
Desired Experience:
- Experience in Cash Equities: 3-5 years of hands-on experience in equity research, specifically in alpha research for cash equities strategies.
- Data Expertise: Demonstrated ability to analyze fundamental, event-related, and alternative datasets, integrating this information into actionable insights for strategy development.
Highly Valued Skills
Quantitative Researcher – Equities in England employer: Marlin Selection
Contact Detail:
Marlin Selection Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher – Equities in England
✨Tip Number 1
Network like a pro! Reach out to professionals in the industry through LinkedIn or local meetups. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in quantitative research. We recommend practising common interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 3
Showcase your projects! If you’ve worked on any relevant research or models, make sure to discuss them during interviews. We love seeing real-world applications of your skills, so don’t hold back!
✨Tip Number 4
Apply directly through our website! It’s the best way to ensure your application gets seen. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Quantitative Researcher – Equities in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Researcher role. Highlight your experience in alpha research and any relevant programming skills, especially in Python. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about systematic equity strategies and how your skills can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Research Experience: In your application, be sure to showcase your research experience clearly. Mention specific projects or models you've worked on, especially those that involved data analysis and predictive modelling. We’re keen to see your analytical prowess!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Marlin Selection
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss specific models or techniques you've used in past research. Make sure you can explain how these methods contributed to alpha generation in your previous roles.
✨Showcase Your Programming Prowess
Since proficiency in Python is key, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to data analysis and model building beforehand.
✨Research the Firm's Strategies
Dive deep into the firm's systematic equity strategies. Understand their approach to alpha research and be prepared to discuss how your experience aligns with their methodologies. This shows genuine interest and helps you stand out.
✨Prepare for Collaboration Questions
Expect questions about teamwork and collaboration, especially since you'll be working closely with the Senior Portfolio Manager. Think of examples where you've successfully collaborated on research projects and how you ensured alignment with your team.
