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For Companies At a Glance
- Tasks: Develop alpha strategies and leverage machine learning for cash equities.
- Company: Join a leading hedge fund with over $15Bn in assets under management.
- Benefits: Collaborative culture, high-quality data, and robust infrastructure await you.
- Why this job: Learn from a diverse team and enhance your skills in a fast-paced environment.
- Qualifications: Advanced degree in a quantitative field and strong coding skills required.
- Other info: Opportunity to work closely with an experienced Portfolio Manager.
The predicted salary is between 48000 - 84000 £ per year.
A leading, multi-manager hedge fund with +$15Bn AuM is growing an established team. This is an opportunity to work under a Portfolio Manager with extensive experience running systematic cash equity strategies. They are looking for a Quantitative Researcher with demonstrated experience conducting alpha research on cash equities. The ideal hire would have experience applying machine learning and/or statistical learning techniques to develop models to enhance the trading process. The fund prides itself on its high-quality data, robust infrastructure, and a collaborative culture. This would be an opportunity to learn from a diverse team, with extensive sell and buy-side experience.
Responsibilities
- Developing alpha strategies from global cash equities.
- Leveraging machine learning tools to identify alpha signals from traditional, fundamental, and alternative datasets.
- Collaborating with the PM, supporting with idea generation, data analysis, and backtesting.
- Contributing to the research and trading pipeline, including Risk and Factor Modelling.
Requirements
- Advanced degree in a quantitative field such as Mathematics, Physics, Statistics, or Engineering.
- Demonstrated experience developing systematic cash equity/statistical arbitrage strategies.
- Experience with machine learning models and/or statistical learning models (e.g. LLMs, neural networks, Deep Learning models, etc.).
- Capacity to excel in a fast-paced environment.
- Strong coding skills in at least one of the following programming languages: Python, R, MATLAB, and/or C++, C#.
Equities Quant Researcher employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Equities Quant Researcher
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and statistical learning techniques. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the hedge fund industry, especially those who work in quantitative research. Attend relevant conferences or webinars where you can meet potential colleagues and learn more about the specific challenges they face.
✨Tip Number 3
Prepare to showcase your coding skills by working on personal projects or contributing to open-source projects. This will not only enhance your skills but also provide you with tangible examples to discuss during your interview.
✨Tip Number 4
Stay updated on global cash equity markets and current events that may impact trading strategies. Being well-informed will allow you to engage in meaningful discussions with the Portfolio Manager and demonstrate your commitment to the role.
We think you need these skills to ace Equities Quant Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your quantitative skills and relevant experience in developing systematic cash equity strategies. Include specific projects where you've applied machine learning or statistical learning techniques.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with their focus on alpha research and your ability to thrive in a collaborative environment.
Showcase Technical Skills: Clearly outline your coding proficiency in languages like Python, R, MATLAB, or C++. Provide examples of how you've used these skills in previous roles, especially in relation to machine learning models.
Highlight Relevant Experience: Detail any past experiences that demonstrate your ability to conduct alpha research and collaborate with portfolio managers. Use metrics or outcomes to illustrate your contributions to previous teams or projects.
How to prepare for a job interview at LinkedIn
✨Showcase Your Technical Skills
Make sure to highlight your coding abilities in Python, R, MATLAB, or C++. Be prepared to discuss specific projects where you've applied machine learning or statistical learning techniques to develop models, as this is crucial for the role.
✨Demonstrate Your Understanding of Alpha Research
Be ready to explain your experience with alpha strategies and how you've leveraged various datasets to identify signals. Discuss any relevant projects or research that showcase your ability to enhance trading processes.
✨Prepare for Collaborative Discussions
Since the fund values a collaborative culture, think about examples where you've worked effectively in a team. Be prepared to discuss how you can contribute to idea generation and support the Portfolio Manager in data analysis and backtesting.
✨Stay Informed About Market Trends
Keep up-to-date with current trends in cash equities and quantitative finance. Being able to discuss recent developments or innovations in the field will demonstrate your passion and commitment to the role.
