At a Glance
- Tasks: Research and enhance equity models, design new strategies, and translate findings into actionable signals.
- Company: Leading asset management firm in London with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Engaging environment with opportunities to publish research and present at conferences.
- Why this job: Join a dynamic team to shape the future of equity investment with cutting-edge research.
- Qualifications: Experience in quantitative equity, strong Python skills, and a postgraduate degree in a quantitative field.
The predicted salary is between 60000 - 80000 € per year.
Responsibilities
- Research and enhance equity factor models and portfolio construction techniques
- Design and prototype new systematic equity strategies and products
- Translate research into implementable signals within production platforms
- Partner with the portfolio engineering team on model implementation and execution
- Conduct standalone research leading to white papers and presentations
- Engage with distribution to articulate capabilities and support AUM growth
- Integrate systematic research into discretionary investment processes
Requirements
- Experience in quantitative equity, with a track record in equity factors and portfolio construction
- Deep knowledge of risk models, optimisation and sustainability integration
- Strong Python programming (pandas, NumPy) and data manipulation skills
- Proven ability to work with large datasets and research infrastructure
- Understanding of artificial intelligence (AI) and machine learning (ML) techniques applied to equity portfolios
- Postgraduate degree (MSc/PhD) in a quantitative discipline
- Evidence of published research or conference presentations is advantageous
Senior Quantitative Analyst, Asset Management, London - eFinancialCareers employer: eFinancialCareers
As a Senior Quantitative Analyst in our London office, you will join a dynamic and innovative team dedicated to pushing the boundaries of asset management. We pride ourselves on fostering a collaborative work culture that encourages continuous learning and professional growth, offering access to cutting-edge resources and opportunities to engage in impactful research. With a commitment to sustainability and a focus on integrating advanced technologies like AI and ML, we provide a unique environment where your contributions can directly influence our investment strategies and drive AUM growth.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quantitative Analyst, Asset Management, London - eFinancialCareers
✨Tip Number 1
Network like a pro! Reach out to professionals in the asset management field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that Senior Quantitative Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative research, equity factor models, and any Python projects you've worked on. This is your chance to demonstrate your expertise and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of risk models and optimisation techniques. We recommend practising common interview questions related to AI and ML applications in equity portfolios to stand out from the crowd.
✨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 Senior Quantitative Analyst, Asset Management, London - eFinancialCareers
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in quantitative equity and portfolio construction. We want to see how your skills align with our needs, so don’t be shy about showcasing your Python programming and data manipulation expertise!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about asset management and how your background in risk models and AI techniques can contribute to our team. Let us know what excites you about the role!
Showcase Your Research:If you have published research or presented at conferences, make sure to mention it! We love seeing evidence of your analytical skills and thought leadership in the field. It’s a great way to stand out from the crowd.
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 at StudySmarter!
How to prepare for a job interview at eFinancialCareers
✨Know Your Numbers
Make sure you brush up on your quantitative skills before the interview. Be ready to discuss your experience with equity factors and portfolio construction in detail. Prepare examples of how you've used risk models and optimisation techniques in past projects.
✨Showcase Your Python Skills
Since strong Python programming skills are a must, be prepared to demonstrate your proficiency. You might be asked to solve a problem or explain how you've manipulated large datasets using libraries like pandas and NumPy. Practise coding challenges beforehand!
✨Research and Present
Given the emphasis on standalone research and white papers, think about any relevant work you've done that you can present. Prepare to discuss your findings and how they could translate into actionable strategies for the company. This shows your ability to communicate complex ideas effectively.
✨Stay Ahead of AI and ML Trends
With AI and ML being integral to modern equity portfolios, make sure you're up-to-date with the latest trends and techniques. Be ready to discuss how you've applied these technologies in your previous roles and how they can enhance investment processes.
