At a Glance
- Tasks: Research and design innovative equity strategies using cutting-edge data and portfolio techniques.
- Company: Global asset manager in London with a focus on collaboration and innovation.
- Benefits: Competitive salary, professional development, and a dynamic work environment.
- Other info: Opportunity to work with global teams and enhance your career in finance.
- Why this job: Join a team that shapes the future of equity investing with your analytical skills.
- Qualifications: Experience in quantitative equity research and strong Python skills required.
The predicted salary is between 60000 - 80000 € per year.
Responsibilities
- Research and design new systematic equity strategies and products using proprietary data and modern portfolio construction.
- Partner with Portfolio Engineering to implement and productionise equity quant capabilities.
- Enhance and maintain the existing suite of factor and risk models.
- Run standalone research projects culminating in white papers and client-facing presentations.
- Improve the shared research platform, tools and data workflows.
- Collaborate with colleagues across equities, multi-asset, distribution and technology teams globally.
- Showcase and explain systematic capabilities to internal stakeholders and external clients.
Requirements
- Experience in quantitative equity research and/or portfolio construction.
- Knowledge of equity factors, risk models, optimisation, sustainability integration and portfolio construction techniques.
- MSc or PhD in a quantitative field (e.g., statistics, econometrics, numerical methods).
- Strong Python skills (pandas, NumPy) and proficiency with large datasets.
- Understanding of modern AI/ML techniques applied to equity portfolios.
- Excellent written and verbal communication.
- Self-starter with commercial awareness and high ethical standards.
Equity Quantitative Analyst, Global Asset Manager, London, Global asset manager, London - eFinanc... employer: eFinancialCareers
As a leading global asset manager based in London, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our employees benefit from extensive professional development opportunities, competitive compensation packages, and the chance to work with cutting-edge technology in a vibrant financial hub. Join us to be part of a team that values your contributions and supports your growth in the fast-paced world of quantitative finance.
StudySmarter Expert Advice🤫
We think this is how you could land Equity Quantitative Analyst, Global Asset Manager, London, Global asset manager, London - eFinanc...
✨Tip Number 1
Network like a pro! Reach out to professionals in the equity research space 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
Showcase your skills! Create a portfolio of your quantitative projects, especially those involving Python and data analysis. This will give you an edge and demonstrate your capabilities to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of equity factors and risk models. We recommend practising common interview questions and even presenting your own research findings to friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Equity Quantitative Analyst, Global Asset Manager, London, Global asset manager, London - eFinanc...
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your quantitative research experience and any relevant projects you've worked on, especially those involving equity strategies.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about equity quantitative analysis. Share specific examples of your work with Python or portfolio construction techniques that demonstrate your fit for the role.
Showcase Your Communication Skills:Since excellent written communication is key, ensure your application is clear and concise. Use straightforward language and structure your thoughts logically to make it easy for us to see your potential.
Apply Through Our Website:We encourage you to apply directly through our website. This way, we can easily track your application and ensure it gets the attention it deserves. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at eFinancialCareers
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative equity research and portfolio construction knowledge. Be ready to discuss specific techniques, like optimisation and risk models, as well as how you've applied them in past projects.
✨Show Off Your Python Skills
Since strong Python skills are a must, prepare to demonstrate your proficiency with libraries like pandas and NumPy. You might be asked to solve a problem or analyse a dataset during the interview, so practice coding on the spot!
✨Communicate Clearly
You’ll need to explain complex concepts to both technical and non-technical audiences. Practice articulating your ideas clearly and concisely, especially when discussing your research projects or systematic capabilities.
✨Be a Team Player
Collaboration is key in this role, so be prepared to talk about how you've worked with cross-functional teams in the past. Highlight any experiences where you partnered with colleagues from different departments to achieve a common goal.
