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For Companies At a Glance
- Tasks: Lead research processes, analyse data, and optimise trading strategies.
- Company: Join a dynamic investment firm focused on innovative quantitative research.
- Benefits: Enjoy a competitive salary, bonuses, and opportunities for professional growth.
- Why this job: Be part of a cutting-edge team that values creativity and analytical skills.
- Qualifications: MS or PhD in quantitative fields; strong Python programming skills required.
- Other info: Located in London, this role offers a chance to make a real impact.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Responsibilities:
- At least 5 years maximum 10 years of experience within high-frequency trading in equities
- Creating new alpha signal/ alpha generation (has a track record)
- Statistical arbitrage experience
- Lead the research department (3 people)
- Your missions will be to participate in the identification of new arbitrage opportunities and the improvement of existing strategies from all trading data, but also from new data sources.
- You will take an active part in the entire chain of research and development of strategies: brainstorming, modelling, data, study of signals, backtesting, implementation of strategies in a production environment and monitoring of signal performance.
Requirements:
- MS or Ph.D. in finance, computer science, mathematics, physics, or other quantitative disciplines
- Researching systematic equities strategies
- Experienced in market microstructure strategies
- Previous trading or portfolio management experience would be beneficial
- Experience with alpha research
- Strong programming skills in Python
- Strong analytical and quantitative skills
- A hedge fund background is not a must but is preferable
- Willing to take ownership of his/her work, working both independently
Location: UK – London or USA
Salary:Â Â Competitive + Bonus
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REFER A FRIEND
If you're interested in this opportunity, please forward your CV. Alternatively, if you would like to know more information or have a confidential discussion please contact Shanaz Rob- call on +44 (0)203 603 4474 email info@srinvestmentpartners.com
Apply now
Contact Detail:
S.R Investment Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quant Researcher
✨Tip Number 1
Make sure to showcase your experience with large and complex data sets during any discussions. Highlight specific projects where you've successfully managed data analysis, as this will demonstrate your capability in handling the responsibilities of a Senior Quant Researcher.
✨Tip Number 2
Prepare to discuss your own research trading strategies in detail. Be ready to explain the methodologies you used, the outcomes, and how they can be applied to improve existing strategies at StudySmarter.
✨Tip Number 3
Familiarise yourself with the latest trends in portfolio optimisation and time series modelling. Being able to speak knowledgeably about current techniques and tools will set you apart from other candidates.
✨Tip Number 4
Network with professionals in the finance and quantitative research fields. Engaging with others can provide insights into the role and may even lead to referrals, increasing your chances of landing the job with us.
We think you need these skills to ace Senior Quant Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative research, particularly in areas like time series modelling and portfolio optimisation. Emphasise your programming skills in Python and any relevant projects you've worked on.
Craft a Strong Cover Letter: In your cover letter, discuss your specific experiences with managing research processes and developing trading hypotheses. Mention any successful strategies you've created and how they contributed to previous teams or projects.
Showcase Your Analytical Skills: Provide examples of how you've worked with large and complex datasets. Detail any instances where your analytical skills led to significant improvements in research or trading outcomes.
Highlight Team Collaboration: Since the role involves working within a small team, mention any collaborative projects you've been part of. Discuss how you took ownership of your work while contributing to team goals, showcasing your ability to work independently and as part of a group.
How to prepare for a job interview at S.R Investment Partners
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail. Highlight any trading strategies you've developed and the methodologies you used, as this will demonstrate your hands-on experience and understanding of the research process.
✨Demonstrate Your Programming Skills
Since strong programming skills in Python are essential for this role, be ready to provide examples of how you've used Python in your past work. You might even want to prepare a small coding challenge or problem to showcase your proficiency during the interview.
✨Discuss Portfolio Optimisation Techniques
Prepare to talk about your approach to portfolio optimisation. Discuss any specific techniques or models you've employed in the past, and be ready to explain how they contributed to improved performance.
✨Emphasise Team Collaboration
While the role requires independence, it's also important to show that you can work well within a team. Share examples of how you've collaborated with others on research projects, and how you contributed to the team's overall success.
