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- Tasks: Drive alpha research and develop predictive models for equity strategies.
- Company: Leading global investment firm known for its innovative, data-driven approach.
- Benefits: Competitive salary, dynamic work environment, and access to cutting-edge technology.
- Why this job: Join a collaborative team and make an impact in global equity markets.
- Qualifications: Masters or PhD in a quantitative field and proficiency in Python.
- Other info: Fast-paced environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
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.
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.
Qualifications
- 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.
Experience
- 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 & Experience
- Strong economic intuition and the ability to apply critical thinking to complex financial problems.
- Previous involvement in statistical arbitrage strategies will be considered highly advantageous.
Why Join This Team?
This role provides a unique opportunity to work in a fast-paced, intellectually stimulating environment with access to diverse datasets and cutting-edge technology. You will be part of a collaborative team focused on deploying systematic strategies that impact the global equity markets.
How to Apply
If you are passionate about quantitative research, systematic trading, and want to work with a firm that thrives on collaboration and innovation, we encourage you to apply!
Quantitative Researcher – Equities employer: Marlin Selection Ltd
Contact Detail:
Marlin Selection Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher – Equities
✨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.
✨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 and how you approach problem-solving.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate individuals who fit our culture.
We think you need these skills to ace Quantitative Researcher – Equities
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 quantitative research and how you can contribute to our team. Be specific about your experiences and how they relate to the job description.
Showcase Your Technical Skills: Don’t forget to emphasise your technical skills, particularly in programming and data analysis. We love seeing examples of how you've used these skills in past roles, so include any relevant projects or achievements!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Marlin Selection Ltd
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss specific models or techniques you've used in the past. Make sure you can explain how you applied statistical learning methods to real-world datasets, as this will show your practical experience.
✨Research the Firm
Dive deep into the firm's approach to systematic equity strategies. Understand their recent projects or innovations in alpha research. This knowledge will not only impress your interviewers but also help you tailor your answers to align with their goals.
✨Prepare for Technical Questions
Expect technical questions related to Python programming and model development. Be prepared to solve problems on the spot or discuss your thought process in detail. Practising coding challenges beforehand can give you a solid edge.
✨Showcase Collaboration Skills
Since the role involves working closely with a Senior Portfolio Manager and the investment team, be ready to share examples of how you've successfully collaborated in previous roles. Highlight your ability to communicate complex ideas clearly and work transparently with others.
