At a Glance
- Tasks: Research and implement signals, optimise portfolios, and develop behavioural analytics.
- Company: Major hedge fund expanding its innovative Research function.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborative team culture with a focus on innovation and AI integration.
- Why this job: Shape investment strategies and make a real impact in the finance world.
- Qualifications: Strong academic background in Maths or Sciences; experience in quantitative research is a plus.
The predicted salary is between 60000 - 80000 £ per year.
Our client is a major hedge fund that is growing its Research function supporting its Discretionary Portfolio Managers.
About the Role:
- Researching and implementing signals, building portfolio optimisation tools, developing behavioural analytics, and building tools to support the investment process that shape the way in which our portfolio managers invest and trade.
Responsibilities:
- Work closely with discretionary Portfolio Managers to add value to their process through signal development.
- Become familiar with the markets and sectors they trade.
- Work to optimise our discretionary portfolios, using risk modelling, portfolio construction, and optimisation.
- Backtest and implement signals using both traditional and alternative data sources.
- Follow industry and academic literature for innovations in quantitative strategies and suggest how discretionary PM teams can profit from them.
- Collaborate effectively with team members and communicate complex technical concepts to a less technical audience.
- Stay updated with market trends and continuously seek opportunities for improvement of existing processes and innovation using quantitative methods.
- Help PMs identify and integrate AI tools into their workflow where they add value to research, screening, or decision-making.
Qualifications:
- Exceptional academic background, preferably Maths or Sciences.
Required Skills:
- Ability to explain technical details to a less technical generalist audience.
- Understanding of portfolio construction and optimisation.
- Experience of using equity risk models.
- Strong knowledge of financial markets, including the sector-level and stock-specific drivers of returns.
- Strong knowledge of Python and experience of data analysis techniques along with relevant libraries.
- Previous experience with optimisation packages is a plus.
- Familiarity with credit markets is advantageous but not required.
- Ideally experience in a quant researcher role; direct experience working with discretionary Portfolio Managers is a strong plus.
- Interest in applying AI and LLM-based tools to investment workflows; hands-on experience building such tools is a plus.
Preferred Skills:
- Familiarity with credit markets is advantageous but not required.
- Ideally experience in a quant researcher role; direct experience working with discretionary Portfolio Managers is a strong plus.
- Interest in applying AI and LLM-based tools to investment workflows; hands-on experience building such tools is a plus.
Candidates must have the right to live and work in the UK.
Quantitative Researcher - Discretionary Business in London employer: Pagos Consultants
As a leading hedge fund, our client offers an exceptional work environment for Quantitative Researchers, fostering a culture of innovation and collaboration. Employees benefit from competitive compensation, comprehensive professional development opportunities, and the chance to work alongside experienced Portfolio Managers in a dynamic market setting. Located in the heart of the financial district, the firm provides access to industry-leading resources and a vibrant community that encourages growth and creativity.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher - Discretionary Business in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the hedge fund space, especially those working as Portfolio Managers or Quant Researchers. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative research projects, especially those involving signal development or portfolio optimisation. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Stay updated with the latest trends! Follow industry news and academic literature related to quantitative strategies. Being able to discuss recent innovations during interviews will show that you're proactive and passionate about the field.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented individuals like you. Make sure to check out our job listings regularly and submit your application directly to us for the best chance of landing that role.
We think you need these skills to ace Quantitative Researcher - Discretionary Business in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Quantitative Researcher. Highlight your experience with portfolio optimisation, risk modelling, and any relevant projects that showcase your skills in Python and data analysis.
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 your background aligns with the needs of our discretionary Portfolio Managers. Keep it engaging and personal!
Showcase Your Technical Skills:Don’t shy away from detailing your technical expertise. Mention specific tools, libraries, and methodologies you’ve used in past roles. This will help us see how you can contribute to our team right from the get-go.
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 Pagos Consultants
✨Know Your Signals
Make sure you understand the signals you'll be researching and implementing. Brush up on portfolio optimisation tools and be ready to discuss how you can add value to discretionary Portfolio Managers through signal development.
✨Brush Up on Your Python Skills
Since strong knowledge of Python is crucial, ensure you're comfortable discussing your experience with data analysis techniques and relevant libraries. Be prepared to share examples of how you've used Python in past projects, especially in relation to portfolio construction and optimisation.
✨Stay Current with Market Trends
Familiarise yourself with the latest industry and academic literature on quantitative strategies. This will not only help you answer questions but also show your enthusiasm for continuous improvement and innovation in the field.
✨Communicate Clearly
You’ll need to explain complex technical concepts to a less technical audience. Practice simplifying your explanations and think of examples where you've successfully communicated intricate ideas in an understandable way.
